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Study and Comparison of Various Image Edge Detection Techniques

Author(s): Raman Maini | Dr. Himanshu Aggarwal

Journal: International Journal of Image Processing
ISSN 1985-2304

Volume: 3;
Issue: 1;
Start page: 1;
Date: 2009;
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Keywords: Edge Detection | Noise | Digital Image Processing

Edges characterize boundaries and are therefore a problem of fundamental importance inimage processing. Image Edge detection significantly reduces the amount of data and filtersout useless information, while preserving the important structural properties in an image.Since edge detection is in the forefront of image processing for object detection, it is crucial tohave a good understanding of edge detection algorithms. In this paper the comparativeanalysis of various Image Edge Detection techniques is presented. The software isdeveloped using MATLAB 7.0. It has been shown that the Canny’s edge detection algorithmperforms better than all these operators under almost all scenarios. Evaluation of the imagesshowed that under noisy conditions Canny, LoG( Laplacian of Gaussian), Robert, Prewitt,Sobel exhibit better performance, respectively. 1. It has been observed that Canny’s edgedetection algorithm is computationally more expensive compared to LoG( Laplacian ofGaussian), Sobel, Prewitt and Robert’s operator.
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