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论文类型：期刊论文

发表时间：2016-08-01

发表刊物：NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS

收录刊物：SCIE、CSCD、Scopus

卷号：9

期号：3

页面范围：451-469

ISSN号：1004-8979

关键字：Mumford-Shah model; Total variation; Image segmentation; K-means; Inexact alternating direction method

摘要：Image segmentation is a fundamental problem in both image processing and computer vision with numerous applications. In this paper, we propose a twostage image segmentation scheme based on inexact alternating direction method. Specifically, we first solve the convex variant of the Mumford-Shah model to get the smooth solution, the segmentation are then obtained by apply the K-means clustering method to the solution. Some numerical comparisons are arranged to show the effectiveness of our proposed schemes by segmenting many kinds of images such as artificial images, natural images, and brain MRI images.