Abstract
Image segmentation is a fundamental step in image processing. Otsu’s threshold method is a widely used method for image segmentation. In this paper, a novel image segmentation method based on chaos immune clone selection algorithm (CICSA) and Otus’s threshold method is presented. By introducing the chaos optimization algorithm into the parallel and distributed search mechanism of immune clone selection algorithm, CICSA takes advantage of global and local search ability. The experimental results demonstrate that the performance of CICSA on application of image segmentation has the characteristic of stability and efficiency.
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References
Sahoo, P.K., Soltani, S., Wong, A.: A Survey of Thresholding Techniques. Computer Vision, Graphics and Image 41, 233–260 (1988)
Spirkovska, L.: A Summary of Image Segmentation Techniques. NASA Technical Memorandum 104022 (1993)
De Castro, L.N., Von Zuben, F.J.: The Clonal Selection Algorithm with Engineering Applications. In: GECCO’00 - Workshop Proceedings, pp. 36–37 (2000)
Li, B., Jiang, W.S.: Chaos Optimization Method and Its Application. Control Theory and Applications 14, 613–615 (1997)
Yao, J.F., Mei, C., Peng, X.Q.: The Application Research of The Chaos Genetic Algorithm (CGA) and Its Evaluation of Optimization Efficiency. Acta Automat Sinica 28, 935–942 (2002)
Zhou, C., Chen, T.: Chaotic Annealing for Optimisation. Phys. Rev. E 55, 2580–2587 (1997)
Wang, Z.C., Zhang, T., Wang, H.W.: Simulated Annealing Algorithm Based on Chaotic Variable. Control Decision 14, 382–384 (1999)
Guo, Z.L., Wang, S.A., Zhuang, J.: A Novel immune Evolutionary Algorithm Incorporating Chaos Optimization. Pattern Recognition Letters 27, 2–8 (2006)
Zuo, X.Q., Fan, Y.S.: A Chaos Search Immune Algorithm with Its Application to Neuro-fuzzy Controller Design. Solitons and Fractals 30, 94–109 (2006)
De Castro, L.N., Timmis, J.: Artificial Immune Systems: A Novel Paradigm to Pattern Recognition. Artificial Neural Networks in Pattern Recognition. In: SOCO-2002, University of Paisley UK, pp. 67–84 (2002)
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© 2007 Springer-Verlag Berlin Heidelberg
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Cheng, J., Ji, G., Feng, C. (2007). Image Segmentation Based on Chaos Immune Clone Selection Algorithm. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2007. Lecture Notes in Computer Science(), vol 4682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74205-0_55
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DOI: https://doi.org/10.1007/978-3-540-74205-0_55
Publisher Name: Springer, Berlin, Heidelberg
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