Date of Publication :15th October 2019

Abstract: Image Processing is the wide domain consist of different types of techniques such as Image Segmentation, image resolution enhancements, pixel based Image Editors but detection of the images Boundaries known as Image’s Edge is the broad area. The captured images contains the noises and difficult to analyze the images pixel accurately. The Ant Colony Optimization (ACO) is the approximation algorithm which works on basis of probability and extract the pixels different where the intensity values get changed on due to lighting effect or pixel ratios. We have been proposed the algorithm for identify the Images Values based on the Pixel Matrix to generate the identify the image accurately. The concept is based upon the ants in which ants get move in all directions with following the shortest path and to remove the values that are not the accurate path. We have been generated the flow charts, reviewed the MATLAB Working that might generate the results with Accuracy and some of the performance parameters also specified such as PSNR (Peak Signal to Noise Ratio) with graphically representation.

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