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
Link To Document :
بازگشت