Yasuchika Takeda

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We constructed a code book (CB) for vector quantization (VQ) of an image using a real-coded genetic algorithm (GA). Simulated binary crossover (SBX) and a minimum generation gap (MGG) were employed in the GA as a crossover and selection, respectively. We compared the performance three algorithms for construction of a CB: fuzzy c means, read-coded GA, and a(More)
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