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Evolutionary Computation Based Optimization of Image Zernike Moments Shape Feature Vector 被引量:1

Evolutionary Computation Based Optimization of Image Zernike Moments Shape Feature Vector
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摘要 The image shape feature can be described by the image Zernike moments. In this paper, we points out the problem that the high dimension image Zernike moments shape feature vector can describe more detail of the original image but has too many elements making trouble for the next image analysis phases. Then the low dimension image Zernike moments shape feature vector should be improved and optimized to describe more detail of the original image. So the optimization algorithm based on evolutionary computation is designed and implemented in this paper to solve this problem. The experimental results demonstrate the feasibility of the optimization algorithm. The image shape feature can be described by the image Zernike moments. In this paper, we points out the problem that the high dimension image Zernike moments shape feature vector can describe more detail of the original image but has too many elements making trouble for the next image analysis phases. Then the low dimension image Zernike moments shape feature vector should be improved and optimized to describe more detail of the original image. So the optimization algorithm based on evolutionary computation is designed and implemented in this paper to solve this problem. The experimental results demonstrate the feasibility of the optimization algorithm.
出处 《Wuhan University Journal of Natural Sciences》 CAS 2008年第2期153-158,共6页 武汉大学学报(自然科学英文版)
基金 the National Natural Science Foundation of China (60303029)
关键词 Zernike moment image Zernike moments shape feature vector image reconstruction evolutionary computation Zernike moment image Zernike moments shape feature vector image reconstruction evolutionary computation
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参考文献10

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