Method of image edge detection based on multiple edge features and FCM

An edge detection method of the infrared image based multiple features and the fuzzy C-means algorithm (FCM) is proposed. The multiple edge features are defined according to the character of the gray intensity distribution at the image edge. An vector is composed by the multiple edge features, then the vectors of all pixels in input image are worked out, and compose a data set that can reflect the natural characters of image edge, then divide the data set into two clusters of the edge data set and not edge data set by FCM. Our method does not need any threshold; more sensitive for weak edge detection; has better anti-noise performance since the influence of noise is adequately considered when the feature vector is selected.