Forthcoming and Online First Articles

International Journal of Arts and Technology

International Journal of Arts and Technology (IJART)

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International Journal of Arts and Technology (1 paper in press)

Regular Issues

  • Image classification of art works based on multiple naive Bayes algorithm   Order a copy of this article
    by Gang Liang 
    Abstract: In order to overcome the problems of unreasonable contrast and low classification accuracy in traditional art image classification, this paper proposes a new art image classification method based on multiple naive Bayes algorithm. This method uses image smoothing method to remove the noise of art works image and realise image preprocessing, constructs colour histogram to quantify the hue value of art works image to complete image feature extraction, obtains image feature points through multiple naive Bayes, obtains the generated feature descriptor of art works image, and realises the classification of art works image. The experimental results show that the classification accuracy of this method is as high as 99.6%, the image classification contrast is always in the best value, and the classification time is short.
    Keywords: multiple naive Bayes algorithm; art works; image classification; image smoothing method; feature extraction; image feature descriptor.
    DOI: 10.1504/IJART.2021.10039375