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Edge detection is one of the most critical tasks in automatic image analysis.There exists no universal edge detection method which works well under allconditions. This paper shows the new approach based on the one of the mostefficient techniques for edge detection, which is entropy-based thresholding.The main advantages of the proposed method are its robustness and itsflexibility. We present experimental results for this method, and compareresults of the algorithm against several leading edge detection methods, suchas Canny, LOG, and Sobel. Experimental results demonstrate that the proposedmethod achieves better result than some classic methods and the quality of theedge detector of the output images is robust and decrease the computation time.

A New Algorithm Based Entropic Threshold for Edge Detection in Images