A study of edge detection algorithms
โ Scribed by Tamar Peli
- Publisher
- Elsevier Science
- Year
- 1982
- Weight
- 165 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0146-664X
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๐ SIMILAR VOLUMES
The wavelet analysis is an e cient tool for the detection of image edges. Based on the wavelet analysis, we present an unsupervised learning algorithm to detect image edges in this paper. A wavelet domain vector hidden Markov tree (WD-VHMT) is employed in our algorithm to model the statistical prope
Described is a novel type of 2-D filter which may be used for edge detection in image processing. The filter maximizes its correlation with an edge of any direction while having the optimum noise properties. When digitally implemented the filter has a small systematic error of edge position determin