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Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
September 1996 (vol. 18 no. 9)
pp. 884-900
ASCII Text
x 
 
Song Chun Zhu, Alan Yuille, "Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 9, pp. 884-900, September, 1996.
 
 
BibTex
x
 
@article{ 10.1109/34.537343,
author = {Song Chun Zhu and Alan Yuille},
title = {Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation},
journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {18},
number = {9},
issn = {0162-8828},
year = {1996},
pages = {884-900},
doi = {http://doi.ieeecomputersociety.org/10.1109/34.537343},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
TI - Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IS - 9
SN - 0162-8828
SP884
EP900
EPD - 884-900
A1 - Song Chun Zhu,
A1 - Alan Yuille,
PY - 1996
KW - Image segmentation
KW - region growing
KW - snakes
KW - minimum description length
KW - Bayes statistics
KW - uncertainty principle
KW - color model.
VL - 18
JA - IEEE Transactions on Pattern Analysis and Machine Intelligence
ER -
 

Abstract—We present a novel statistical and variational approach to image segmentation based on a new algorithm named region competition. This algorithm is derived by minimizing a generalized Bayes/MDL criterion using the variational principle. The algorithm is guaranteed to converge to a local minimum and combines aspects of snakes/balloons and region growing. Indeed the classic snakes/balloons and region growing algorithms can be directly derived from our approach. We provide theoretical analysis of region competition including accuracy of boundary location, criteria for initial conditions, and the relationship to edge detection using filters. It is straightforward to generalize the algorithm to multiband segmentation and we demonstrate it on gray level images, color images and texture images. The novel color model allows us to eliminate intensity gradients and shadows, thereby obtaining segmentation based on the albedos of objects. It also helps detect highlight regions.

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Index Terms:
Image segmentation, region growing, snakes, minimum description length, Bayes statistics, uncertainty principle, color model.
Citation:
Song Chun Zhu, Alan Yuille, "Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 9, pp. 884-900, Sept. 1996, doi:10.1109/34.537343
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