一种用于尿沉渣图像的自适应阈值分割新方法

o solve the segmentation of the complicated defocusing urinary sediment image, this paper proposed a new segmentation method. The method were conducted by following steps: (1) using wavelet transforms and morphology to erase the effect of defocusing and realize the first segmentation, (2) according to the subimages after wavelet processing, using adaptive threshold processing respectively, (3) using ‘peel off’ algorithm to deal with the overlapped cells’ segmentations. The method was not affected by the defocusing, made good use of many kinds of characteristics of the images, so it can get very precise segmentation. The experimental results showed that the method was effective for defocusing urinary sediment image segmentation.