Title:
les_mesures_evaluations_MSE_PSNR
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Description: 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.
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les_mesures_evaluations_MSE_PSNR.pdf
