A REVIEW PAPER ON DIFFERENT EXISTING EDGE DETECTION TECHNIQUES
Arpita Upadhyay, Nitin Jain
ABSTRACT
Edge detection plays a major role in image processing. The objective of edge detection is to discard unimportant and unnecessary events and preserve the essential information. It is the main tool of pattern recognition, image segmentation, and analysis of scenes. Edge detectors are used to remove the edge points in an image. Edge detection has attracted many researchers. Over the years many researchers have contributed to the field of edge detection. It is one of the techniques for detection of intensity discontinuities in a digital image. This paper presents a review on different edge detection techniques like prewitt, robert, sobel and LOG (Laplacian of Gaussian).It describes the comparative study on different existing edge detection methods.RGB is described in this paper. The paper also includes the description of the effect of noise on the RGB image and various techniques to detect the edges accurately.
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