DocumentCode
384358
Title
Improved MSEL and its medical application
Author
Huiguang, He ; Jie, Tian ; Jing, Wang ; Hong, Chen ; Zhang XP
Author_Institution
Inst. of Autom., Acad. Sinica, Beijing, China
Volume
2
fYear
2002
fDate
2002
Firstpage
597
Abstract
Edge detection is the basic operation in image processing and analysis. Multiresolution sequential edge linking (MSEL) Cook and Delp (1995) has a number of advantages over other edge detection schemes, such as lower false alarm rates while maintaining full connectivity of the edge. However, it is not reasonable in the initial value selection and is time consuming. For this problem, we first use anisotropic diffusion to smooth the image while keeping the edge, and then use the feedback method to optimize the initial value. We apply our method to a medical image, and experiments show that our method is more efficient and accurate than the old MSEL.
Keywords
Markov processes; edge detection; medical image processing; search problems; Markov random chain; anisotropic diffusion; edge detection; feedback method; full connectivity; image smoothing; medical image; multiresolution sequential edge linking; Anisotropic magnetoresistance; Biomedical equipment; Biomedical imaging; Feedback; Image analysis; Image edge detection; Image processing; Joining processes; Medical services; Optimization methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-1695-X
Type
conf
DOI
10.1109/ICPR.2002.1048373
Filename
1048373
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