Evolutionary computation based optimization of image Zernike moments shape feature vector
Maofu Liu, Hujun Hu, Zhong Ming, Yanxiang He, Fazhi He · Wuhan University Journal of Natural Sciences · 2008
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.