DocumentCode :
432542
Title :
A new approach to thinning based on time-reversed heat conduction model [image processing]
Author :
Ji, Xinhua ; Feng, Jufu
Author_Institution :
Sch. of Electron. Eng. & Comput. Sci., Peking Univ., Beijing, China
Volume :
1
fYear :
2004
fDate :
24-27 Oct. 2004
Firstpage :
653
Abstract :
In this article, a novel thinning algorithm, based on a time-reversed heat conduction model, is proposed. The image is viewed as a thermal conductor and the thinning task is then considered as an inverse process of heat conduction. Given an image, the direction map of heat conduction is first computed, and then time-reversed heat conduction is simulated. The result turns out to be a thinned pattern. The algorithm can be applied to gray-scale or binary images.
Keywords :
feature extraction; heat conduction; image representation; image thinning; binary images; feature extraction; gray-scale images; heat conduction direction map; heat conduction inverse process; image thinning; object representation; object skeletons; pattern analysis; thermal conductor viewed image; thinned pattern; time-reversed heat conduction model; Computational modeling; Computer science; Conductors; Gray-scale; Heat engines; Iterative algorithms; Pixel; Skeleton; Temperature; Thermal conductivity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
ISSN :
1522-4880
Print_ISBN :
0-7803-8554-3
Type :
conf
DOI :
10.1109/ICIP.2004.1418839
Filename :
1418839
Link To Document :
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