A Detailed Review of Ant Colony Optimization for Improved Edge Detection

Due to rapid enhancement in image processing, there is need to design and implement an improved edge detection algorithm in order to analyzing the edges of an original image. Optimization mechanism based on ant colony optimization technique has been used in present work. Research work is focused on implementation of edge detection using ant colony optimization algorithm on MATLAB and to improve the drawbacks of that algorithm and comparing it with the new improved algorithm. Present research is focused on the performance parameters, namely RMSE and PSNR. Thus, edge detection process The edge detection process considers selection of the image as input, and image is saved in a 256 color bitmap format. Then edge pixel values and generated the edges in image is calculated to generate the results with improved quality edges. Finally, comparison of the results of both algorithms and represent those results are made graphically. Proposed research is supposed to play significant role in area of image processing and quality enhancement.