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Bhageerath, Kesari Eswar
- A Comparative Analysis of Edge Detection Techniques for Processing of a Video Signal
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Authors
Affiliations
1 Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, IN
2 Department of Computer Science and Engineering, Gayatri Vidya Parishad College of Engineering, Visakhapatnam, IN
3 Department of Computer Science and Engineering, Lovely Professional University, Punjab-11, IN
1 Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, IN
2 Department of Computer Science and Engineering, Gayatri Vidya Parishad College of Engineering, Visakhapatnam, IN
3 Department of Computer Science and Engineering, Lovely Professional University, Punjab-11, IN
Source
International Journal of Advanced Networking and Applications, Vol 13, No 4 (2022), Pagination: 5029-5036Abstract
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.Keywords
Canny Edge,Image And Video Processing, Krisch, Laplacian,Prewitt, Roberts, Sobel Operators.Full Text
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