Automatic extraction of regions of interest based on rough sets

SUN Jun-ding; CHEN Su-xia; GUO Qi-qiang

doi:10.13873/j.1000-97872009.03.014

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Automatic extraction of regions of interest based on rough sets

更新时间：2025-09-11

- Automatic extraction of regions of interest based on rough sets
- Vol. 28, Issue 3, Pages: 101-103+107(2009)
- 作者机构：
  
  河南理工大学计算机科学与技术学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872009.03.014
  CLC： TP391.41
- Published：2009
- 稿件说明：
移动端阅览
[1]孙君顶,陈素霞,郭启强.基于粗糙集的图像感兴趣区域自动提取算法[J].传感器与微系统,2009,28(03):101-103+107.

SUN Jun-ding, CHEN Su-xia, GUO Qi-qiang. Automatic extraction of regions of interest based on rough sets[J]. 2009, 28(3): 101-103+107.
[1]孙君顶,陈素霞,郭启强.基于粗糙集的图像感兴趣区域自动提取算法[J].传感器与微系统,2009,28(03):101-103+107. DOI： 10.13873/j.1000-97872009.03.014.

SUN Jun-ding, CHEN Su-xia, GUO Qi-qiang. Automatic extraction of regions of interest based on rough sets[J]. 2009, 28(3): 101-103+107. DOI： 10.13873/j.1000-97872009.03.014.

摘要

在分析常规区域生长算法的基础上

提出一种基于粗糙集理论的感兴趣区域自动提取算法.在显著度图和相对位置指示图的基础上

以像素点的显著度、相对位置及颜色信息构成知识表达系统

通过属性约简和值约简

导出了有用的区域生长决策规则。实验结果表明:该方法与现有算法相比

它能够更好地提取图像感兴趣区域。

Abstract

By the analysis of traditional region growth algorithm

an automatic extraction method of regions of interest（ROI）based on rough sets is presented.Combination of salience and relative position image

knowledge expression system is introduced by the salience

relative position and the color information of each image pixel.The region growth decision rules are educed by attribute and value reduction.The experiment shows that this method can extract the ROI more precisely than the traditional region growth method.

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references

图像感兴趣区域自动提取算法 [J]. 王艳娟,陈晓红,邹丽. 科学技术与工程 . 2007(12)

利用颜色和熵提取感兴趣区域的感性图像检索 [J]. 陆伟,倪林. 中国图象图形学报 . 2006(04)

T-snakes: Topology adaptive snakes [J] . Tim McInerney,Demetri Terzopoulos. Medical Image Analysis . 2000 (2)

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