Convex Non-convex Image Segmentation
Publication in refereed journal

香港中文大學研究人員
替代計量分析
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其它資訊
摘要A convex non-convex variational model is proposed for multiphase image segmentation. We consider a specially designed non-convex regularization term which adapts spatially to the image structures for a better control of the segmentation boundary and an easy handling of the intensity inhomogeneities. The nonlinear optimization problem is efficiently solved by an Alternating Directions Methods of Multipliers procedure. We provide a convergence analysis and perform numerical experiments on several images, showing the effectiveness of this procedure.
著者Raymond Chan, Alessandro Lanza, Serena Morigi, Fiorella Sgallari
期刊名稱Numerische Mathematik
出版年份2018
月份3
卷號138
期次3
出版社Springer
頁次635 - 680
國際標準期刊號0029-599X
電子國際標準期刊號0945-3245
語言美式英語
關鍵詞Variational image segmentation, Mumford-Shah model, Convex non-convex strategy, ADMM, Convergence Analysis

上次更新時間 2020-20-10 於 03:38