Cooperative active contour model and its application to remote sensing
Noriko Matsumoto, Norihiko Yoshida, Shuji Narazaki · 2006
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.