PERFORMANCE ANALYSIS OF EDGE DETECTION BASED ON IMPROVED SOBEL OPERATOR AND SOBEL OPERATOR
Journal Title: World Journal of Engineering Research and Technology - Year 2017, Vol 3, Issue 5
Abstract
Edge detection plays an imperative role in image processing, predominantly in the areas of feature recognition and feature extraction. The edges of image are deliberated to be most imperative image attributes that provide valuable information. The Sobel method uses the derivative appraisal to find edges. An image gradient is a steering change in the intensity or color in an image. Image gradients may be used to validate the information from images. The Sobel operator is initiated based on convolving the image with an undersized and integer-valued filter in the horizontal and vertical directions.[1] In sobel edge detection, 1/8 term is used to get the right gradient value.In this paper,sobel edge detection algorithm is improved by using the gradient value as 1/2.The improved sobel algorithm takes less computational time and supreme PSNR value than the sobel edge detection algorithm.
Authors and Affiliations
B. Sasi Prabha
Keywords
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- EP ID EP659020
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