Clonal Selection Algorithm Based on Manifold Distance for Image Compression

Author:

Zhao Meng Ling1,Yin Xin Yu2

Affiliation:

1. Xi’an University of Science and Technology

2. Xi'an University of Science and Technology

Abstract

In this paper for LBG algorithm is very sensitive to initial code book, clonal selection algorithm is introduced and splitting method is adopted to generate the initial code book. Besides, because similarity metric based on euclidean distance can only reflect local consistency of the clustering instead of the clustering global consistency, clonal selection clustering method in terms of manifold distance is put forward to produce and optimize the final code book. Furthermore, it is proved through the experiment that algorithm of clonal selection code book design based on themanifold distance(MDCSA) is characterized by better performance .

Publisher

Trans Tech Publications, Ltd.

Reference7 articles.

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2. K.W. Chan and K.L. Chan, in: Subband VPIC with Classified Joint Vector Quantization , Signal Processing: Image Communication, vol. 13(1998),  p.145.

3. Yingchun Zhang, Juan Cao and Bohong Su, in: Image Registration Based on Genetic Algorithm, JCIT: Journal of Convergence Information Technology, Vol. 8(2013), p.37.

4. Zhou Yang, Ma Li and Bai lin, in: Clustering Method with Evolutionary Immune Network Based on Polyclonal Algorithm, Computer Engineering and Applications, vol. 45(2009), p.146.

5. Wang Juan and Li Fei, in: A Quantum-inspired Immune Clonal Algorithm Based on Real-Encoding, Computer Engineering, vol. 38(2012), p.133.

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