Interest Point Detection in Images Based on Topology Structure Features of Directed Complex Network

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• 英文论文题名：Interest Point Detection in Images Based on Topology Structure Features of Directed Complex Network
• 论文作者：Qingyu Zou ; Weiliang Sun ; Liyun Xing ; Yan Chen ; Haitao Yuan
• 英文论文作者：Qingyu Zou ; Weiliang Sun ; Liyun Xing ; Yan Chen ; Haitao Yuan ; College of Electrical and Information Engineering ; Beihua University ; College of Communication Engineering ; Jilin University
• 年：2017
• 作者机构：College of Electrical and Information Engineering,Beihua University;College of Communication Engineering,Jilin University;
• 英文论文关键词：Image ; Interest point ; Complex network ; Degree ; Closeness ; Betweenness
• 会议召开时间：2017-07-26
• 会议录名称：第36届中国控制会议论文集（A）
• 英文会议录名称：Proceedings of the 36th Chinese Control Conference（A）
• 语种：英文
• 分类号：TP391.41
• 学会代码：KZLL
• 会议名称：第36届中国控制会议
• 会议地点：中国辽宁大连
• 主办单位：中国自动化学会控制理论专业委员会
• 学会名称：中国自动化学会控制理论专业委员会
• 页数：5
• 文件大小：334k
• 原文格式：D
• 会议级别：全国

摘要

Interest point detection is one of the key technologies in image processing and target recognition. This paper presents a new method for detecting interest points in digital images and computer vision problems based on complex network theory. We associate a directed and weighted complex network model to each image and then we propose three different algorithms to locate these key points based on three topological features of image complex network model, which are degree, closeness and betweenness.
Interest point detection is one of the key technologies in image processing and target recognition. This paper presents a new method for detecting interest points in digital images and computer vision problems based on complex network theory. We associate a directed and weighted complex network model to each image and then we propose three different algorithms to locate these key points based on three topological features of image complex network model, which are degree, closeness and betweenness.

引文

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