The challenge of handling the digital image in different forms in the present world is bit difficult. Edge detection is a terminology in image processing and computer vision, particularly in the areas of feature detection and feature extraction, to refer the algorithms which aim at identifying points in a digital image at which the image brightness changes sharply or more formally has discontinuities. There are many ways to perform edge detection. However, the three major techniques are Krish, Prewitt and Sobel. These techniques use different logics for detecting an image. In this project these three techniques will be implemented and also show that Krish technique is more effective than Prewitt and Sobel techniques.
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