Abstract: An edge detection method of noisy micro image was proposed where threshold was performed via statistical principles. The region whose change rate of intensity is maximum was extracted by applying statistical functions. Then an edge pixel was detected from the extracted region with the nonmaxima suppression algorithm. The gradient strength at each pixel was standardized locally before threshold was selected so as toeliminate the ambiguity and inappropriateness in choosing global threshold values. However, the values of the input parameters providing the appreciable results in the proposed detector were found to be more stable than other edge detectors and possess statistical interpretation, which can efficiently handle random noise present in an image. The results of the proposed algorithm were compared with those of many wellknown edge detectors. The results suggest it can produce reliable, robust, and smooth edges.

Key words: micro image, edge detection, statistical threshold, non-maxima suppression