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基于像素相似性与Graph-Cut的图像自动分割

胡焦 陈辉

现代电子技术Issue(2):45-47,3.
现代电子技术Issue(2):45-47,3.

基于像素相似性与Graph-Cut的图像自动分割

Image automatic segmentation based on pixel similarity and Graph cut

胡焦 1陈辉1

作者信息

  • 1. 安徽理工大学,安徽 淮南 232000
  • 折叠

摘要

Abstract

The image segmentation based on Graph cut can be classified into interactive segmentation and automatic segmenta-tion. In order to make up the shortages of interactive segmentation which needs interaction with users,segmentation result which relies on selection of the seed points and the model establishment,and further revision done by users,an automatic image seg-mentation based on pixel similarity is introduced in this paper. Mean-shift is used in this method to smooth the image. The image is divided into several blocks as the image is converted into YcbCr. The proper energy function is established to derive the mini-mum cut with maximum flow/minimum cut theorem. The experiment result proves this automatic segmentation algorithm is effec-tive and practical both in speed and accuracy.

关键词

交互式分割/自动分割分割/Graph cut/像素相似性

Key words

interactive segmentation/automatic segmentation/Graph cut/pixel similarity

分类

信息技术与安全科学

引用本文复制引用

胡焦,陈辉..基于像素相似性与Graph-Cut的图像自动分割[J].现代电子技术,2014,(2):45-47,3.

现代电子技术

OA北大核心CSTPCD

1004-373X

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