International Journal of Advanced Networking and Applications

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A Comparative Analysis of Edge Detection Techniques for Processing of a Video Signal


Affiliations
1 Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, India
2 Department of Computer Science and Engineering, Gayatri Vidya Parishad College of Engineering, Visakhapatnam, India
3 Department of Computer Science and Engineering, Lovely Professional University, Punjab-11, India
 

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.
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  • A Comparative Analysis of Edge Detection Techniques for Processing of a Video Signal

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Authors

Kesari Guru Vishnu
Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, India
Kesari Eswar Bhageerath
Department of Computer Science and Engineering, Gayatri Vidya Parishad College of Engineering, Visakhapatnam, India
Asrith Vatsal Pallanti
Department of Computer Science and Engineering, Lovely Professional University, Punjab-11, India

Abstract


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.

References