DocumentCode :
922097
Title :
One-pixel-wide closed boundary identification
Author :
Helterbrand, Jeffrey D.
Author_Institution :
Res. Labs., Eli Lilly & Co., Indianapolis, IN, USA
Volume :
5
Issue :
5
fYear :
1996
fDate :
5/1/1996 12:00:00 AM
Firstpage :
780
Lastpage :
783
Abstract :
An appropriate space of one-pixel-wide closed (OPWC) boundary configurations is explicitly defined and an automatic algorithm to obtain OPWC contour estimates from a segmented image is presented. The motivation is to obtain a reasonable starting estimate for a Markov chain Monte Carlo-based (McMC-based) boundary optimization algorithm
Keywords :
Markov processes; Monte Carlo methods; edge detection; estimation theory; image segmentation; optimisation; Markov chain Monte Carlo-based boundary optimization algorithm; OPW boundary configurations; automatic algorithm; contour estimates; one-pixel-wide closed boundary identification; segmented image; Filter bank; Hidden Markov models; Image processing; Image segmentation; Pixel; Shape; Signal processing; Signal processing algorithms; Signal resolution; Speech processing;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.499916
Filename :
499916
Link To Document :
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