Retinex theory based active contour model for segmentation of inhomogeneous images
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- 作者：Guodong Wanga ; doctorwgd@gmail.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Qian DongbAuthor Vitae ; Zhenkuan PanaAuthor Vitae ; Weizhong ZhangaAuthor Vitae ; Jinming DuancAuthor Vitae ; Li BaicAuthor Vitae ; Jinpeng ZhangaAuthor Vitae
- 关键词：Image segmentation ; Intensity inhomogeneity ; Split-Bregman algorithm ; Active contour model ; Retinex theory
- 刊名：Digital Signal Processing
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：50
- 期：Complete
- 页码：43-50
- 全文大小：2124 K
文摘
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We propose a global convex segmentation model for images with inhomogeneity.
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We incorporate the Retinex theory into the active contour model.
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The segmentating procedure is led by the image intensity and the light reflection.
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We give the fast and easy Split-Bregman method for the proposed model.
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Experiments demonstrate the outstanding performance for texture segmentation.