Abstract
Edge detection is one of the fundamental operations in computer vision. In the literature there are numerous algorithms for edge detection. This paper presents a new approach to edge detection based on thresholding of a gradient magnitude map. Standard thresholding methods use a single threshold in order to isolate edge points. The introduced technique is based on thresholding with hysteresis. It is obtained by modifying the procedure originally proposed by Canny. The effectiveness of the introduced methods are experimentally verified on standard test images.
| Original language | English |
|---|---|
| Pages (from-to) | 53-63 |
| Number of pages | 11 |
| Journal | Machine Graphics and Vision |
| Volume | 13 |
| Issue number | 1-2 |
| Publication status | Published - 2005 |
Keywords
- Binarization
- Edge detection
- Edge thresholding
- Non-maximum suppressions
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Computer Graphics and Computer-Aided Design
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