Variable length niche algorithm and application in fuzzy image edge detection

The image edge detection is the point that the obvious change of the brightness in the digital image is marked, and the information not related is removed, and the important attribute of the image is preserved. The traditional edge detection algorithm uses the Gauss filter algorithm, and the edge detection of the fuzzy image is not good. A fuzzy edge detection algorithm based on the variable length niche algorithm is proposed in this paper. Fuzzy image edge detection of the tentor space model is established. In tensor space with 4 layer Morlet wavelet decomposition method for processing of image feature extraction and the noise reduction filter, to extract the image pixel feature of variable length coding, to simulate the properties of biological evolution, the punishment which adapt to small valves of individuals, by variable length coding and niche algorithm of redundant information out, effectively ability is insufficient problem. Simulation results show that the proposed method has the highest PSNR value, and the edge of the image is the best, which has better connectivity and color difference. © Metallurgical and Mining Industry, 2015.