Article: A brief survey on image segmentation based on quantum inspired neural network Journal: International Journal of Hybrid Intelligence (IJHI) 2023 Vol.2 No.2 pp.102 - 118 Abstract: Information retrieval is a rudimentary approach which is highly solicited for image analysis research. In classical image analysis, image processing recovers the objects from the noisy images in an efficient way at the cost of substantial time complexity. Quantum computation assisted algorithms play a vital role to extract objects from binary, grey, pure or from true colour images using quantum computing principles which reduces the time complexity while improving the segmentation efficiency. These algorithms take recourse to the quantum superposition principle in achieving the task. A neuro-biological network architecture comprises of different nodes corresponding to the image pixels which are converted to the equivalent <i>qubit</i> neurons in the quantum inspired versions. The ability of information retrieval capability from the images by means of <i>qubit</i> neurons is a much-talked affair now-a-day. In this paper, the authors attempt to present a brief survey on image segmentation techniques using the state-of-the-art techniques including quantum inspired neural networks. Inderscience Publishers - linking academia, business and industry through research

Title: A brief survey on image segmentation based on quantum inspired neural network

Authors: Pankaj Pal; Siddhartha Bhattacharyya; Jan Platos; Vaclav Snasel

Addresses: Department of Information Technology, RCC Institute of Information Technology, Kolkata, India ' Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India ' Faculty of Electrical Engineering and Computer Science, VSB Technical University of Ostrava, Ostrava, Czech Republic ' Faculty of Electrical Engineering and Computer Science, VSB Technical University of Ostrava, Ostrava, Czech Republic

Abstract: Information retrieval is a rudimentary approach which is highly solicited for image analysis research. In classical image analysis, image processing recovers the objects from the noisy images in an efficient way at the cost of substantial time complexity. Quantum computation assisted algorithms play a vital role to extract objects from binary, grey, pure or from true colour images using quantum computing principles which reduces the time complexity while improving the segmentation efficiency. These algorithms take recourse to the quantum superposition principle in achieving the task. A neuro-biological network architecture comprises of different nodes corresponding to the image pixels which are converted to the equivalent qubit neurons in the quantum inspired versions. The ability of information retrieval capability from the images by means of qubit neurons is a much-talked affair now-a-day. In this paper, the authors attempt to present a brief survey on image segmentation techniques using the state-of-the-art techniques including quantum inspired neural networks.

Keywords: image segmentation; quantum computation; neuro-biological network; qubit neuron; quantum inspired neural network; QINN.

DOI: 10.1504/IJHI.2023.129296

International Journal of Hybrid Intelligence, 2023 Vol.2 No.2, pp.102 - 118

Accepted: 15 Feb 2020
Published online: 06 Mar 2023 *

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Title: A brief survey on image segmentation based on quantum inspired neural network

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