Cooperative active contour model and its application to remote sensing

Authors:
Noriko Matsumoto;Norihiko Yoshida;Shuji Narazaki
Affiliations:
Saitama University, Saitama, Japan;Saitama University, Saitama, Japan;Nagasaki University, Nagasaki, Japan
Venue:
Proceedings of the 2006 ACM symposium on Applied computing
Year:
2006

Citing 1
Cited 1

Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence

Layered Cooperation of Macro Agents and Micro Agents in Cooperative Active Contour Model

Agent Computing and Multi-Agent Systems

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Abstract

We propose a decentralized cooperative processing applied to the active contour model "Snake", which applies multiple Snakes to a single region, to improve its detection accuracy. We verify the effectiveness of our proposal in the cases of Multi-Snakes with different parameter sets and Multi-Snakes applied to RGB-decomposed images. We then apply it to multi-spectral remote sensing, and show that Multi-Snakes detected the boundary with enough accuracy.