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RETRACTED ARTICLE: Enhanced artificial bee Colony algorithm and its application in multi-threshold image feature retrieval

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This article was retracted on 20 September 2022

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Abstract

In human information, visual information accounts for about 60%. Image is the main way for humans to obtain visual information. Image binarization is an important technique in image pre-processing. It has important applications in pattern recognition, optical character recognition, and medical imaging. This paper first introduces the research background, basic principle, elements, algorithm flow, advantages, and disadvantages of bee colony algorithm. To solve the problem that artificial bee colony algorithm is easy to fall into local optimum, this paper proposes an adaptive cauchy mutation artificial bee colony algorithm. This algorithm introduces adaptive factors to expand the search range of bee colony and uses the characteristics of Cauchy distribution to search the global, which improves the universality of bee colony search. Then using stochastic process theory, the adaptive Cauchy mutation artificial bee colony algorithm is analysed theoretically, and the convergence of the algorithm has demonstrated. Finally, we can use Matlab to implement the artificial bee colony algorithm, and we can optimize the Griewank function and Sphere function. In addition, this paper has successfully used in image multi-threshold feature retrieval. Compared with the conventional methods, it shows that the method is more accurate.

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Acknowledgments

The authors would like to thank the anonymous reviewers and the editor for suggesting various changes. And this work was supported by the National Natural Science Foundation of China (No. 81473559), the Science Basic Research Program in Shaanxi Province of China (No. 16JK1823), the Natural Science Basic Research Plan in Shaanxi Province of China (No. 2017JM6086), the Science Basic Research Program in Xianyang Normal University of China (No. XSYK17030), the Education Scientific Program of 13th Five-year Plan in Shaanxi Province of China (no. SGH17H196), the Teaching Reform Program in Xianyang Normal University of China (No. 2017Z014).

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Authors and Affiliations

  1. School of Computer Science, XianYang Normal University, XianYang, Shaanxi, China

    Hong Li & Weibin Li

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  1. Hong Li
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  2. Weibin Li
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Correspondence to Hong Li.

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Li, H., Li, W. RETRACTED ARTICLE: Enhanced artificial bee Colony algorithm and its application in multi-threshold image feature retrieval. Multimed Tools Appl 78, 8683–8698 (2019). https://doi.org/10.1007/s11042-018-6066-6

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  • DOI: https://doi.org/10.1007/s11042-018-6066-6

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