Two-Stage Image Segmentation Scheme Based on Inexact Alternating Direction Method

array(2) { ["lab"]=> string(4) "1185" ["publication"]=> string(4) "9812" } Two-Stage Image Segmentation Scheme Based on Inexact Alternating Direction Method - image processing | LabXing

image processing

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2016

期刊 Numerical Mathematics: Theory, Methods and Applications

作者 Zhanjiang Zhi · Yi Sun · Zhi-Feng Pang

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AbstractImage segmentation is a fundamental problem in both image processing and computer vision with numerous applications. In this paper, we propose a two-stage 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.

卷 9
期 3
页码 451-469
Global Science Press
ISSN: 1004-8979
DOI: 10.4208/nmtma.2016.m1509

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