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International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 2, ISSUE 11, NOVEMBER 2013

A Performance Based Study of Edge Detection Techniques for 2D Images under Normal and Noisy Conditions

VINEET SAINI, PALAK KUMAR Lecturer, M.Tech Student Institute of Science and Technology, Klawad, Yamunanagar

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Abstract: This paper proposes the adaptation and optimization of four edge detector algorithms used for feature set extraction in 2D images. The paper compares the performance of Sobel, Canny, Roberts and Prewitt edge detectors and proposed better solution for feature extraction in image processing. It has been shown that the Canny edge detection algorithm performs best among Sobel, Roberts and Prewitt edge detection under normal and noisy conditions, but with compromise of time. This work is implemented using MATLAB 7.10.0.

Keywords: Edge detection, Canny, Roberts, Sobel,Prewitt.

How to Cite:

[1] VINEET SAINI, PALAK KUMAR Lecturer, M.Tech Student Institute of Science and Technology, Klawad, Yamunanagar, “A Performance Based Study of Edge Detection Techniques for 2D Images under Normal and Noisy Conditions,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)

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