A Comparative Analysis Of Edge Detection Techniques For Processing Of A Video Signal

In recent technology Edge detection technique is essential to image or video processing, which is The process of extract the structural information from digitized data. It involves various steps like object counting, feature extraction and classification. The goal of this study is to conduct a comparative examination of Edge Detection approaches used in video processing, with a greater emphasis on drastically reducing the dimensionality of image/video processing techniques. Edge detection techniques such as Sobel, Prewitt, Roberts, Laplacian, Canny, Krisch, and Robinson were compared. The evaluation of various edge detection approaches is based on characteristics such as PSNR, SNR, MSE, Entropy, and Execution time. Many video or image processing applications demand a quick processing response.