Forthcoming and Online First Articles

International Journal of Product Development

International Journal of Product Development (IJPD)

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International Journal of Product Development (27 papers in press)

Regular Issues

  • Xtreme Design A new approach for virtual innovation   Order a copy of this article
    by Caroline Heins, Daniel Jarr, Cornelius Herstatt 
    Abstract: Existing research regarding innovation widely assumes physical, in-person exchange. This cannot be guaranteed during a global pandemic like COVID-19, where people must work remotely, and are limited to virtual collaboration. Our paper is based on an exploratory action research in a multinational corporate operating in the material handling industry. We present a case study combining innovation methods with remote delivery. The action research was conducted between March and July 2020, and resulted in a novel approach for virtual innovation, which we call the Xtreme Design method. It has two advantages over traditional innovation methods: teams can innovate in a virtual remote work environment, and it is fast and cost efficient. We present the model and its elements, as well as the set of practices designed to realize it. For practitioners, the paper provides evidence and insights about the use of Xtreme Design to support the implementation of virtual innovation processes.
    Keywords: INNOVATION; CASE STUDY; MANAGEMENT TOOL; VALUE; COVID-19; DESIGN THINKING; VIRTUAL INNOVATION.

  • A set-based-inspired design process supported by axiomatic design and interactive evolutionary algorithms   Order a copy of this article
    by Mikael Ström, Krister Wolff, Jeremy Jean-Jean, Göran Gustafsson, Ola Isaksson, Hans Johannesson 
    Abstract: This paper presents an approach towards a set-based design-inspired concept development process for products with a solution space consisting principally of different solution alternatives and parameterised variants of these. The hypothesis is that such a concept development process can be based on traditional synthesis methods, an SBD-inspired elimination strategy, axiomatic design and interactive evolutionary algorithms (IEAs) for the synthesis of solution candidates and the successive reduction of the solution space. Axiomatic design and its axioms are used to evaluate and eliminate unfeasible alternatives, whereas IEAs, combined with human judgement, are employed for the evaluation and elimination of variants. Stated criteria specifying a design problem can be of different kinds with different ontologies described by different authors. This study focuses on functional, constraining and qualitative criteria. Results from performed industrial case studies show that the proposed method can reduce the lead time in design work.
    Keywords: concept development; set-based design; axiomatic design; interactive evolutionary algorithms; qualitative criterion.

  • What Makes a Product Manager? A Dynamic Capabilities View of Product Management   Order a copy of this article
    by David Finch, Nadège Levallet 
    Abstract: Todays dynamic environments require constant product innovation and have led to significant changes in product development processes and the product management (PM) function. Despite its strategic importance, we still lack clarity about the competencies needed to succeed in a PM role, and educational opportunities are limited in undergraduate academic and professional development contexts. Consequently, this study uses a content analysis method to examine the extent to which competency resources, as well as contextual factors (i.e., firm size, age, sector), impact the PM function. We explore our research questions through a dynamic capabilities perspective. Findings demonstrate that an organizations desired resources when recruiting PMs are indeed influenced by contextual factors and that meta-skill resources predominate, followed by PM task-specific and domain resources. We contribute to research and practice by providing guidance to PM educators and trainers as well as developing a conceptual model for future research.
    Keywords: Product Management;rnProduct Development;rnProfessional Development;rnEducation.

  • Quantifying and visualising wastes and losses in automotive production flows (across multiple plants and organisations) for increased accuracy in improvement prioritisations   Order a copy of this article
    by Malin Hane Hagström, Dag Bergsjö, Ashwin Sathyanarayana, Chrisler Machado 
    Abstract: Many companies are making use of continuous improvement in order to stay competitive. In businesses, the focus of continuous improvement efforts has often been on optimising the manufacturing processes within the companys own factory or scope of control. Therefore, they have not considered the impacts on and from other areas, because they have failed to see the entire system or manufacturing network of the enterprise. This paper is by using end end-to-end cost deployment identifying the major types of problems in an end-to-end production process within a large manufacturing firm to be able to guide the company how to direct their improvement efforts. The study is designed as a retrospective longitudinal case study using field data which was intended to be a representative flow within the heavy automotive industry. The study shows that, after normalisation, manual operating waste, planned maintenance and machine breakdowns are significant cost factors for the process studied, regardless of the size of the organisation or the complexity of the product.
    Keywords: cost deployment; prioritisation; continuous improvement; lean manufacturing.

  • Review of Models and Frameworks for Set-Based Design   Order a copy of this article
    by Mayara Silvestre De Oliveira, Fernando Forcellini, Jaime Lozano, Jader Riso Barbosa Jr. 
    Abstract: This paper aims to investigate the state-of-the-art in models and frameworks for set-based design and identify the main gaps and contributions in the literature. As a result, 121 models were analysed. Most models are quantitative, computational, engineering design-oriented, and focus on early stages. Although the narrowing down process plays a central role in the set-based design, very little is addressed regarding its management processes. No model was found describing the inputs and outputs of the set-based design and the narrowing down process simultaneously. Thus, knowledge is dispersed and focused on specific parts. The relevance of this study relies on providing a comprehensive investigation of the state-of-the-art, identifying opportunities to advance in this study field, and providing recommendations for future works seeking to support the development of new methods for implementing and managing set-based design, enabling and encouraging its adoption.
    Keywords: set based design; lean; product development; lean design; literature review; narrowing down process; concurrent engineering; model; framework; strategy.

Special Issue on: AI/Machine Learning Techniques as a Tool for Process Modelling and Product Design

  • Color offset compensation method of product packaging image based on color difference interpolation   Order a copy of this article
    by Zhao Lan 
    Abstract: In order to effectively improve the accuracy of image color offset compensation and reduce the compensation time, a color offset compensation method based on color difference interpolation is proposed in this paper. Based on bilinear chromatic aberration interpolation algorithm, the full resolution chromatic aberration signal of image is estimated preliminarily. After image filtering, the basic color data and gray balance data of the image are compared to obtain the color offset. Taking color block as the minimum unit of deviation compensation, the average value of extended color level interpolation was added to the single color level of the calibrated image to complete color offset compensation. Experimental results show that the maximum compensation time of the proposed method is only 29.6s, and the maximum MSE value of the compensation result is only 0.179, indicating that the proposed method has higher compensation accuracy.
    Keywords: Chromatic interpolation algorithm; Linear filtering; Product packaging image; Color offset compensation.

Special Issue on: Recent Advances in Human-AI Interaction for Smart Products

  • A method for layout planning of product web UI visual interface based on clone selection algorithm   Order a copy of this article
    by Yanrong Wang, JinJin Chao, Xuemin Wang 
    Abstract: In order to overcome the problems of long time and low recall rate in traditional product webpage UI visual interface layout planning methods, the paper proposes a product webpage UI visual interface layout planning method based on clone selection algorithm. Define the clone selection algorithm and determine the population evolution process of the interface layout planning. Based on this, determine the operation operator of the visual interface layout planning clone selection algorithm, and design the web UI visual interface layout planning algorithm flow to realize the visual interface layout planning. The experimental results show that when the number of product interfaces is 100, the number of extreme points of the planning function is 103, the interface layout planning time is only 7s, and the data recall rate is as high as 96.5%. It can be shown that the method in this paper has a better visual interface layout planning effect.
    Keywords: Clonal selection algorithm; Layout optimization; Local optimization; Visual interface.

  • Gesture interactive recognition method of moving equipment based on Virtual Reality Technology   Order a copy of this article
    by Yang Shen 
    Abstract: The existing interactive recognition methods for gesture recognition of moving equipment have poor recognition effect and low recognition accuracy, which lead to some limitations of gesture interactive recognition. Therefore, a gesture interactive recognition method for moving equipment based on virtual reality technology is proposed. Firstly, we collect and divide the hand gesture features of sports equipment, analyze the common hand gesture categories of sports equipment, and use virtual reality technology to preprocess the hand gesture interactive recognition data of sports equipment. After preprocessing, we complete the hand gesture interactive recognition of sports equipment based on virtual reality technology. The experimental results show that the accuracy of gesture recognition is more than 95%, and that of complex gesture recognition is more than 93%. Compared with the existing gesture recognition methods, this method has higher effectiveness and recognition accuracy, which fully meets the research requirements.
    Keywords: virtual reality; sports equipment; gesture interaction; gesture recognition;.

  • Visual Perception Based Human-Computer Interaction Information Classification Method for Intelligent Products   Order a copy of this article
    by Liting Zhou, Xuan Li, Minmin Guo 
    Abstract: This paper proposes a new intelligent product human-computer interaction information classification method based on visual perception. Design smart product human-computer interaction information collection device to realize rapid and accurate collection of smart product human-computer interaction information, and fusion processing of the collected information. The ISA model is built according to the principle of visual perception, and the model is optimized by the gradient descent method. The optimized model is used to extract the information attribute characteristics, and the intelligent product human-computer interaction information classification is carried out according to the information attribute characteristics. The experimental results show that the accuracy of information classification of this method is always above 94.7%, and the average classification time is 0.53s, which verifies the superiority of the method.
    Keywords: visual perception; Intelligent products; Man-machine interaction; Information classification; ISA model.

  • Gesture Recognition Method for Wearable Sports Devices Based on Sparse Representation   Order a copy of this article
    by Yuzhou Gao, Guoquan Ma 
    Abstract: In order to effectively solve the shortcomings of traditional gesture recognition methods for sports devices, such as high error rate and long recognition time, this paper designs a gesture recognition method for wearable sports devices based on sparse representation. A gesture model was constructed according to the gesture features of wearable sports devices, and the standard characteristic quantities of gestures were obtained. A sensor is then used to quickly collect a sample of the gesture. The sparse coefficient is obtained. Gestures were classified and processed according to the minimum residual value and sparse coefficient, so as to obtain accurate gesture recognition results of wearable sports devices. The simulation results show that the correct rate of gesture classification is always above 95.41%, the error rate of gesture recognition is always below 5.32%, and the recognition time is less than 0.8s, which proves that the method has achieved good practical application effect.
    Keywords: Sparse representation; Wearable sports devices; Gesture recognition; Characteristic; Classification process.

  • Fault data extraction of human-computer interaction interface for music electronic products based on improved second generation wavelet algorithm   Order a copy of this article
    by JunFang Liang, JiWu Li 
    Abstract: In order to solve the problems of low extraction accuracy and high time cost in human-computer interface fault data extraction, a method of human-computer interface fault data extraction for music electronic products based on improved second generation wavelet algorithm is proposed. The probability of data encounter in the human-computer interaction interface of adjacent music electronic products is calculated, and the interface data is collected with the help of probability distribution function; Judging by the function interval of data points; The similar fault data points are processed by sliding window to complete fault data similarity fusion; The second generation wavelet algorithm is improved by discrete wavelet transform. The energy distribution of fault data in different frequency bands is extracted, and the fault data is extracted in different scale space and wavelet subspace. The results show that the highest accuracy of fault data extraction is about 95%.
    Keywords: Improved Wavelet Algorithm for Generation 2; Music Electronics; Human-Computer Interface; Fault Data Extraction.

  • Human Gesture Interaction Recognition Algorithm Based on Augmented Reality in Smart Wristband Equipment   Order a copy of this article
    by Cuirong Zhao, Yan Chen 
    Abstract: In order to overcome the poor recognition effect of traditional gesture recognition methods, this paper proposes a human gesture interactive recognition algorithm based on augmented reality for intelligent wristband device. The moving window method is used to detect the human gesture change image, and the mean filter is used to smooth the gesture image. The human gesture features of smart wristband device are extracted by augmented reality technology, and the interactive recognition model of human gesture of smart wristband device is constructed. The virtual real synthesis technology is used to synthesize the real scene image and the virtual position according to the obtained spatial coordinates, Complete the human gesture interactive recognition of intelligent wristband device. Simulation results show that the recognition accuracy of the proposed method can reach 99.9%, and the recognition efficiency is significantly improved.
    Keywords: Augmented Reality; Smart wristband device; Human gestures; Interactive recognition.

  • User experience evaluation method of sports product based on genetic algorithm   Order a copy of this article
    by Dong Wang, Xia Liu, Jun Zhuang 
    Abstract: Aiming at the low evaluation accuracy and long evaluation time of traditional sports product user experience evaluation methods, a genetic algorithm-based sports product user experience evaluation method is proposed. By constructing a sports product user experience evaluation index decision matrix, various experience evaluation indicators are obtained; the membership value of each experience evaluation index is calculated, and the numerical structure relationship of potential experience indicators is established; the largest characteristic root in the structure relationship is used as the potential experience indicator Establish different evaluation attribute matrices, calculate attribute parameter weights, construct evaluation models, output initial evaluation results, use genetic algorithm to optimize the initial evaluation results, establish objective optimization functions, and obtain the optimization results of objective functions, which is the final Evaluation results. The simulation results show that the proposed method has higher accuracy in evaluating the user experience of sports products, and the evaluation time is shorter.
    Keywords: Genetic algorithm; Sports products; User experience; evaluation model.

  • Design of virtual reality cycling intelligent interaction system based on VR technology   Order a copy of this article
    by Xin Jiang 
    Abstract: Aiming at the problems of small touch sensing range of user interface, low user satisfaction and long system response time existing in the existing intelligent interactive system, this paper designs an intelligent interactive system of virtual reality bicycle riding based on VR technology. The user interface and image filter of the system hardware are optimized to realize 3D virtual modeling of cycling. On this basis, VR virtual technology is introduced to effectively integrate constraint factors of interactive components, so as to improve the authenticity of outdoor cycling simulation and realize intelligent interaction. The experimental results show that the touch sensing range of the studied system is between 145-185nm2, the user satisfaction tends to 1 infinitely, and the response time is less than 2.3s, indicating that the system has good intelligent interaction.
    Keywords: VR technology; Virtual reality; Cycling; Interactive systems.

  • Design of human-computer interaction display terminal system for intelligent home products based on color vision analysis   Order a copy of this article
    by Wenjuan Liu 
    Abstract: Aiming at the traditional smart home product display terminal system ignoring the analysis of home color vision, resulting in the display terminal system having low human-computer interaction adaptability, long running time, and experience satisfaction checking, the paper designs a smart home product based on color vision analysis. Human-computer interaction display terminal system. Use the Internet of Things platform to design the overall architecture of the smart home system, and design the Internet of Things wireless communication chip to optimize the system hardware functions; use the color vision analysis method to extract the visual element characteristics of the smart home product display interface to complete the human-computer interactive display terminal system software design. Experimental results show that the human-computer interaction adaptability of the designed system is higher than 0.8, and the shortest response time is 0.25s, and the experience satisfaction is as high as 75%, which has good application advantages.
    Keywords: Color vision; Smart home; Human-computer interaction; Display terminal; Internet of things; Color sequence.

  • Research on layout optimization of human-computer interaction interface of electronic music products based on ERP technology   Order a copy of this article
    by Jing Han 
    Abstract: Aiming at the problems of low user satisfaction and long optimization time existing in traditional methods, an ERP based human-computer interaction interface layout optimization method for electronic music products was proposed. Using ERP technology to design the electronic music human-computer interaction interface layout optimization framework, with the support of the architecture using the G1 method to determine the human-computer interaction interface to the importance of the goal on the layout, combined with the judgment results are expected to achieve the optimal layout of visual attention allocation as the objective function, the layout of the building based on visual attention allocation optimization model, particle swarm optimization is used to solve the model and the layout optimization results are obtained. Experimental results show that only less than 0.3% of users are dissatisfied with the system, and the optimization time is less than 300ms, indicating high user satisfaction and short optimization time.
    Keywords: ERP technology; Electronic music products; human-computer interaction; Interface layout; Layout optimization.

  • An evaluation method for human-computer interaction interface of sports electronic products based on Naive Bayes algorithm   Order a copy of this article
    by Xiaolong Shi 
    Abstract: There are some problems in the evaluation method of human-computer interaction interface of sports electronic products, such as long evaluation time and relatively accurate evaluation of interactive interface. An evaluation method of human-computer interaction interface of sports electronic products based on Naive Bayes algorithm is proposed. Determined by Fisher method choice, sports man-machine interface evaluation index of electronic products, and through the MRMR method to product interface evaluation index data to eliminate redundant data, through comprehensive evaluation matrix to calculate weight of the man-machine interface evaluation index membership degree, with the help of naive bayes algorithm to calculate weight evaluation index of discrete, The comprehensive evaluation model of human-computer interaction interface is constructed to complete the evaluation of human-computer interaction interface of sports electronic products. Experimental results show that the shortest evaluation time of the proposed method is about 31 s, and the evaluation accuracy is always higher than 90%.
    Keywords: Simple Bayesian algorithm; Fisher selection; Redundant data; Comprehensive evaluation model.

  • Virtual display of intelligent human-computer interaction products based on attention matrix   Order a copy of this article
    by Lin Wang 
    Abstract: In order to solve the problems of low accuracy and poor effect of gesture recognition in traditional virtual display methods of intelligent human-computer interaction products, a virtual display method of intelligent human-computer interaction products based on attention matrix was proposed. Determine the NUI interaction mode, select the appropriate motion sensing interaction device Kinect, and use this device for gesture recognition. The information of intelligent human-computer interaction products such as gesture recognition results is saved through Array. The attention matrix of intelligent human-computer interaction products is established, the virtual display model of intelligent human-computer interaction products is constructed combined with the change of viewpoints, so as to realize the virtual display of products. Experimental results show that the accuracy of the proposed method can be maintained above 80% for difficult gesture recognition, and the accuracy of simple gesture recognition can reach 100%, and the virtual display effect of products is good.
    Keywords: Attention matrix; Intelligent human-computer interaction; Product virtual display; Somatosensory interactive equipment; Array.

Special Issue on: Smart Products

  • An Interactive Method of Digital Fitness Equipment Based on Machine Learning   Order a copy of this article
    by Rui Zhang, Fang Liu, Cheng Wang 
    Abstract: Aiming at the problems of long operation time, high operation error rate and low user satisfaction in traditional methods, this paper proposes an interactive method of digital fitness equipment based on machine learning. Firstly, the paper designs an interactive platform for digital fitness equipment to collect user data. Then, the consistent convergence model is used to adjust the user's human-computer interaction requirements, the machine learning algorithm is used to design the digital fitness equipment, and the adaptive controller is used to control the user's human-computer interaction behavior. Finally, the human-computer interaction interface of digital fitness equipment is designed. The experimental results prove that the interactive interface operation time measured by the design method is short, the shortest time is only 2.51s; The error rate range of interactive interface operation is 0-0.7%, and user satisfaction is high, indicating that this method has a better application effect.
    Keywords: machine learning; human-computer interaction; digital fitness equipment; consistent convergence; adaptive controller.

  • The 3D Animation Display of Smart Products Based on Hanoi Tower Recursive Algorithm   Order a copy of this article
    by Qiong Wang 
    Abstract: In the process of using traditional methods to display smart product 3D animation, the image is not preprocessed, resulting in poor animation display effect and low efficiency. Therefore, a smart product 3D animation display method based on the Hanoi Tower recursive algorithm is proposed. Using the weighted average method to grayscale the 3D image of the smart product, obtain the grayscale image, and combine the Harris corner detection method to extract the image feature points, and reconstruct the 3D image of the smart product based on the feature extraction results. The Hanoi Tower recursive algorithm is used to construct a 3D animation display model to realize the 3D animation display of smart products. The simulation results show that the 3D animation display image of the smart product of this method has higher clarity, higher display effect and higher display efficiency.
    Keywords: Hanoi Tower; Recursive algorithm; Smart products; 3D animation display; Graying processing; Harris corner detection.

  • A fault diagnosis method of intelligent electronic equipment based on dynamic fusion   Order a copy of this article
    by Jun Qian, Kaijun Nie 
    Abstract: In order to overcome the problems of low accuracy of fault data extraction and long diagnosis time, a fault diagnosis method of intelligent electronic equipment based on dynamic fusion is proposed. Convolution neural network and long-term and short-term memory neural network are dynamically fused to extract the characteristic parameters of intelligent electronic equipment based on neural network. Combined with the principle of feature collection, the fault information of intelligent electronic equipment is collected, the covariance matrix of data noise data is constructed, the key noise is extracted, the noise reduction of fault data is completed, and the fault diagnosis of intelligent electronic equipment is carried out according to the results of fault information fusion and fuzzy kernel c-means clustering. The experimental results show that the highest accuracy of fault data extraction is about 95%, and the shortest time of sample fault data extraction is about 0.5s.
    Keywords: Dynamic fusion; Intelligent electronic equipment; Noise interference degree; Fuzzy kernel c-means clustering; fault diagnosis.

  • Appearance design defect detection of rigid plastic products based on geometric feature extraction   Order a copy of this article
    by Jiang-lin Hua, Yuan-sheng Liu 
    Abstract: In order to overcome the problem of low geometric feature extraction accuracy and defect detection accuracy of traditional appearance design defect detection methods, a new appearance design defect detection method of rigid plastic products based on geometric feature extraction is proposed in this paper. This method first analyzes the types of design defects of rigid plastic products, and then extracts the defect area, the length and width of the defect area, the gradient characteristics and shape characteristics of the defect area. Based on the geometric feature extraction results, combined with Gaussian Laplace algorithm, the appearance design defects of rigid plastic products are detected. The experimental results show that compared with the traditional design defect detection methods, this method can accurately extract the geometric features of defects, so as to obtain more accurate defect detection results, and the maximum defect detection accuracy can reach 97%.
    Keywords: Geometric feature extraction; Hard plastic products; Appearance design; defect detection.

  • Expression capture of virtual reality equipment based on expression weighted distance SLLE   Order a copy of this article
    by Shuitian Yan 
    Abstract: In order to overcome the problems of long time-consuming and high error in traditional expression capture methods, an expression capture method for virtual reality devices based on expression weighted distance SLLE is proposed. The LM algorithm is used to generate the virtual viewpoint of facial expression, and the adaptive weighted LDP method is used to process the facial expression features, remove the redundant information and retain the key features of the image. Considering the differences between different image types and viewpoints, the weighted distance SLLE method is used to capture facial expression images. Experimental results show that this method can effectively capture the viewpoint in facial expression, and the time is short and the expression capture error is small.
    Keywords: expression weighted distance SLLE; virtual reality equipment; adaptive weighting; face viewpoint.

  • Double fingerprint accurate identification method of intelligent door lock based on spatio-temporal information feature fusion   Order a copy of this article
    by Liuping Cai, Fenghui Huang 
    Abstract: Aiming at the problems of low recognition accuracy and large feature extraction error in the dual fingerprint recognition of intelligent door lock, a dual fingerprint accurate recognition method of intelligent door lock based on spatio-temporal information feature fusion is proposed. Set the standardized form of dual fingerprint image, calculate the gray mean and variance of fingerprint image, and complete fingerprint image preprocessing; According to the coordinate relationship of the dual fingerprint direction field of the intelligent door lock, the dual fingerprint block of the intelligent door lock is divided, and the feature extraction is completed by solving the gradient value of the dual fingerprint block. The temporal and spatial features of fingerprint images are fused, and the fusion results are corrected with the help of calibration function to complete accurate fingerprint identification. The results show that the recognition accuracy of the proposed method is good.
    Keywords: spatiotemporal information feature fusion; Intelligent door lock; Double fingerprint; Equalization; Calibration function.

  • A real-time acquisition method of local change features of 3D animation considering product design   Order a copy of this article
    by Weijia Chai, Zhiqiang Yue 
    Abstract: In order to improve the poor matching effect of traditional feature acquisition methods, a real-time feature acquisition method of 3d animation local changes considering product design is proposed in this paper. Firstly, the local variation characteristics of the animation are described according to the product design concept. Then, the information transferred in the design of the product is analyzed, and the anti-noise ability of the change feature descriptor is fitted by gaussian difference function. Finally, the expression factor of product appearance is transformed into the extreme point information of the change feature, and the extreme point equation of the local change feature is obtained. The real-time collection of local variation features is realized by considering product design rules. The results show that the matching effect of the proposed method is 200 dimensions higher than that of traditional methods, and the recognition rate is 40%~10% higher than that of traditional methods.
    Keywords: product design; 3D animation; Local variation characteristics; Real-time acquisition; Data collection; Sampling method.

  • Research on secure storage data access control of smart TV based on blockchain   Order a copy of this article
    by Jianxin Qiu 
    Abstract: In order to solve the problems of low data security, access control accuracy and long data query time existing in traditional data access control methods, this paper proposes a secure storage data access control of smart TV based on blockchain. Firstly, the naive Bayesian algorithm is used to calculate the posterior probability according to the data safety level; Secondly, the category corresponding to the maximum posterior probability is regarded as the category of the data, and the data classification is realized by iterative calculation; Finally, on the basis of data classification, different categories of smart TV secure storage data access control are realized through ciphertext encryption, data decryption, access policy update and other steps based on blockchain. Experimental results show that the method has high data security, the average accuracy of data access control is 96.3%, and the data query time is always less than 0.5s.
    Keywords: Blockchain; Smart TV; Secure storage of data; Access control; Naive Bayesian algorithm; Ciphertext encryption; Data decryption.

  • A Color Enhancement Method of Plane Image Based on the Interactive Interface of Mobile Smart Devices   Order a copy of this article
    by Jianjun Wang 
    Abstract: When using the existing methods to enhance the image color of the interactive interface of mobile intelligent devices, there are some problems, such as long enhancement time, easy to produce image distortion and so on. Therefore, a color enhancement method for planar image of interactive interface of mobile intelligent device is proposed. The target image is collected by image sensor, the plane image is transformed from high-dimensional subspace to low-dimensional subspace, the linear map is established, the projection distance between each single pixel in the image to be processed is obtained, and the image is processed by local dimension reduction method to complete the preprocessing; The histogram method is used to adaptively adjust the dark area in the interface, and the enhancement is completed by mapping function and median filter method. The results show that this method has low image distortion rate and short time in image enhancement processing.
    Keywords: mobile smart device; interactive interface; plane image; color enhancement; image acquisition.