Fast Detection of Closed Curve in Image Based on Feature Points Extraction

SONG Jia-tao; LIU Ji-lin; ZHANG Jian-guo

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Fast Detection of Closed Curve in Image Based on Feature Points Extraction

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- Fast Detection of Closed Curve in Image Based on Feature Points Extraction
- Acta Electronica Sinica Vol. 30, Issue 8, Pages: 1232-1234(2002)
- 作者机构：
  
  1. 浙江大学信息与通信工程研究所,浙江,杭州,310027
  2. 宁波高等专科学校,浙江,宁波,315016
  3. 浙江大学信息与通信工程研究所浙江杭州,310027
  4. 宁波高等专科学校浙江宁波,315016
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.41
- Published：2002
- 稿件说明：
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SONG Jia-tao, LIU Ji-lin, ZHANG Jian-guo. Fast Detection of Closed Curve in Image Based on Feature Points Extraction[J]. Acta Electronica Sinica, 2002, 30(8): 1232-1234.
DOI：

SONG Jia-tao, LIU Ji-lin, ZHANG Jian-guo. Fast Detection of Closed Curve in Image Based on Feature Points Extraction[J]. Acta Electronica Sinica, 2002, 30(8): 1232-1234. DOI：

摘要

本文从图论的观点出发

通过抽取细化后图像中的端点、歧点和叉点等特征点作为图的顶点

计算出图的边数

和顶点数

在分析二者数量关系的基础上

确定图像中闭合曲线的存在性.本方法实现简单

抗噪能力强

是一种实用高效的闭合曲线检测方法.

Abstract

A thinned image is viewed as a graph

and feature points such as ending

bifurcation and crossover are extracted as the vertexes.By counting the number of vertexes and Sides and analyzing their quantitative relationship

whether closed curves exist or not in an image is determined.The proposed method is easy to implement and has strong anti-noise ability.

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Related Institution

National Key Laboratory of Science and Technology on Automatic Target Recognition， College of Electronic Science and Technology， National University of Defense Technology

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