Referenced Items are not available for this document.
Edge detection has played an important role in the field of computer vision. A parametric edge detection method based on recursive mean-separate image decomposition is introduced. A method for automatic parameter selection and two methods for thresholding are also suggested. Experimental results show that the proposed method outperforms many popular edge detection methods, including Sobel, Prewitt, Frei-Chen, and Canny both visually and by quantitative edge map evaluation. Proper parameter selection can also provide segmentation of materials such as potential threat objects in X-ray luggage scan images.
Published in:
Machine Learning and Cybernetics, 2008 International Conference on
(Volume:7
)
Date of Conference: 12-15 July 2008
- Page(s):
- 3689 - 3694
- E-ISBN :
- 978-1-4244-2096-4
- Print ISBN:
- 978-1-4244-2095-7
- INSPEC Accession Number:
- 10207179
- Conference Location :
- Kunming
- Digital Object Identifier :
- 10.1109/ICMLC.2008.4621046
- Product Type:
- Conference Publications
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