Edge detection for phytoplankton cellular based on multi-wavelets de-noising

Based on multi-wavelets, the article systematically researches the following problems: threshold improvement and shrinkage-function betterment, and then used the improved algorithm in application of phytoplankton cellular image´ edge detection. In this paper, the threshold selection has direct relations with the result of de-noising, and the improved algorithm can achieve better de-noising effect; The de-noising method adopting the new threshold function gives better MSE performance and SNR gains than hard and soft threshold methods; The multi-wavelet edge detection algorithm can effectively detect the true edge and can not resulting in less-detection and over-detection. The practice has verified that the feasibility and superiority of multi-wavelet theory in image de-noising and edge detection.