Stochastic model for curvilinear structure reconstruction using morphological profiles
作者： Seong-Gyun Jeong , Yuliya Tarabalka , Josiane Zerubia
DOI: 10.1109/ICIP.2015.7351470
关键词:
摘要: In this work, we propose a stochastic model for curvilinear structure reconstruction using morphological profiles of path opening operator. We apply the support vector machine classifier to obtain initial probabilities belong line network each pixel. Then, formulate optimization problem that detects segments corresponding latent in scene. Experimental results on DNA filament and remote sensing images validate effectiveness proposed algorithm when compared other recent methods.
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