Edge detection algorithms are important tools in image processing applications for carrying out much information and being relatively easy to produce. Sobel Canny and logarithmic algorithms [1] are among several edge detection algorithms used frequently nowadays. The ution of such edge detection algorithms is an old problem. Authors [1][3] tend to use visual uation that limits the comparison between different edge images. In this paper, we present a new edge enhancement method and five different measures that can be used to statistically uate edge detection algorithms. The new edge enhancement method is based on cooperation between different edge detection algorithms. The new edge preserves the advantages of each edge image. Experimental results using two edge detection algorithms proved the efficiency of this method.

les_mesures_evaluations_MSE_PSNR.pdf

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