In this work edges of image have been optimized using Gravitational Search Algorithm. Edge is an essential and extensive feature of an image. Edges of a picture are examined a form of imperative information that can be extricated by use of detectors with distinct techniques. Edge detection is a fundamental step as it is a process of selecting and locating continuity and acute discontinuities in a picture. Gravitational Search Algorithm is a prominent population based search method which is inspired by Newtonian gravity. In this paper, comprehensive analysis of edge detection using adaptive thresholding and gravitational search algorithm is used along with adaptive thresholding for edge detection has been performed. Experimental analysis are done on several test images by using these two methods which shows that edge detection using adaptive thresholding along with GSA optimization method has superior image quality and better Structural Similarity Index Metric (SSIM) value.
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