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