Abstract

Edge detection is the most common approach for detecting discontinuities in gray scale images. By using edge detection important features can be extracted from an image in the form of edges. The number of researches has found so many techniques to detect edges. It is very important to locate the edges which are true as every operator is sensitive to certain type of edges. It is important to choose an edge detector that is best suited for the application. Out of these techniques canny operator is the best method to detect true edges. In this paper all the techniques are reviewed and a novel technique is proposed to detect true edges by using the concept of Adaptive thresholding. Each pixel value of gradient magnitude is compared with adaptive threshold value and edges are detected. We also compared canny operator with the proposed algorithm in terms of PSNR and MSE.

Keyword

Thresholding, Mask, Sobel, Canny, Suppression, kernel.

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