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融合视觉感知和正则割的二维阈值分割算法

邹小林 冯国灿

计算机应用与软件Issue(12):73-76,189,5.
计算机应用与软件Issue(12):73-76,189,5.DOI:10.3969/j.issn.1000-386x.2013.12.019

融合视觉感知和正则割的二维阈值分割算法

TWO DIMENSIONAL THRESHOLD SEGMENTATION BASED ON VISUAL PERCEPTION AND NCUT

邹小林 1冯国灿2

作者信息

  • 1. 肇庆学院数学与信息科学学院 广东 肇庆 526061
  • 2. 中山大学数学与计算科学学院 广东 广州 510275
  • 折叠

摘要

Abstract

Thresholding is an important means of image segmentation , its key is how to determine the threshold value .In this paper , we present a two-dimensional threshold segmentation method which fuses the visual perception and Ncut .The proposed method first utilises the characteristic of visual perception to select the grayscale region where has the candidate threshold vectors , then it uses Ncut as the criterion to determine the optimal segmentation threshold vector from candidate threshold vectors .The experimental results on a series of image show that the proposed method outperforms some classic thresholding methods in segmentation effect .

关键词

图像阈值分割/正则割/阈值向量选择/视觉感知

Key words

Image threshold segmentation/Ncut/Threshold vector selection/Visual perception

分类

信息技术与安全科学

引用本文复制引用

邹小林,冯国灿..融合视觉感知和正则割的二维阈值分割算法[J].计算机应用与软件,2013,(12):73-76,189,5.

基金项目

国家自然科学基金项目(60975083,&nbsp ()

61272338)。 ()

计算机应用与软件

OA北大核心CSCDCSTPCD

1000-386X

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