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A parametric method for edge detection based on recursive mean-separate image decomposition

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3 Author(s)
Nercessian, S. ; Dept. of Electr. & Comput. Eng., Tufts Univ., Medford, MA ; Panetta, K. ; Agaian, S.

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

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