A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Two-dimensional signal and image processing
Two-dimensional signal and image processing
Comparison of Edge Detectors: A Methodology and Initial Study
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Offline handwritten Amharic word recognition
Pattern Recognition Letters
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The process of edge detection and feature extraction methods is based on converting a change of gray level between two regions of an image into a variation function that gives the difference between the gray level of each region and the gray level of the line of discontinuity. The process of computing the relative difference yields the magnitude, direction, and slope sign of the magnitude, which in turn characterize the features of an edge. By focusing on the relative variation of gray level for pixels between small regions, the filtering process of the local region identifies and smoothes un correlated features for a truer edge than is possible by smoothing a larger region.