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A new image classification method using interval texture feature and improved Bayesian classifier

  • 1213: Computational Optimization and Applications for Heterogeneous Multimedia Data
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Abstract

In this paper, a novel technique for image classification is proposed with the three main contributions. First, we give the texture extraction technique for each image to have the two-dimensional interval based on the Grey Level Co-occurrence matrices. Second, the automatic fuzzy clustering algorithm for interval data to determine the prior probability for the classification problem by Bayesian method is created. Finally, the new principle to classify for image is established. Combining the above three improvements, we have the effective method to classify the images. In addition, the proposed method can be performed rapidly for the real data by the established Matlab procedure. Four image data sets with the different characters are used to illustrate the proposed method, and to compare to the well-known algorithms like Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA), Fisher method, Naive Bayes, Multi-Supported Vector Machine (Multi-SVM), Convolutional Neural Networks (CNN), and VGG-19. The results show that the proposed method has the good and stable empirical error, and give the outstanding result about time cost.

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Acknowledgements

This research is funded by Ministry of Education and Training in Vietnam under grant number B2022–TCT–03.

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Authors and Affiliations

  1. Faculty of Engineering, Van Lang University, Ho Chi Minh City, Vietnam

    Ngoc Lethikim

  2. Division of Computational Mathematics and Engineering, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Thao Nguyentrang

  3. Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Thao Nguyentrang

  4. College of Natural ScienceCan Tho University, Can Tho City, Vietnam

    Tai Vovan

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  1. Ngoc Lethikim
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  2. Thao Nguyentrang
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Correspondence to Tai Vovan.

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Lethikim, N., Nguyentrang, T. & Vovan, T. A new image classification method using interval texture feature and improved Bayesian classifier. Multimed Tools Appl 81, 36473–36488 (2022). https://doi.org/10.1007/s11042-022-13531-6

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  • DOI: https://doi.org/10.1007/s11042-022-13531-6

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