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基于混沌遗传算法的基元提取
引用本文:贾东立,张家树,张超.基于混沌遗传算法的基元提取[J].西南交通大学学报,2005,40(4):496-500.
作者姓名:贾东立  张家树  张超
作者单位:西南交通大学信号与信息处理四川省重点实验室,四川,成都,610031
基金项目:四川省青年基金项目资助(03ZQ026-033)
摘    要:提出了一种直接在灰度图像上进行基元提取的方法.与传统基元提取方法相比,该方法不需对灰度图像进行边缘检测二值化处理,而是利用图像边缘的梯度信息对混沌遗传算法导向,直接在灰度图像上提取基元.同时,该方法也避免了Hough变换高的时空开销问题.仿真表明该方法方便、有效并具有较高稳定性.

关 键 词:图像分析  基元提取  混沌遗传算  Hough变换
文章编号:0258-2724(2005)04-0496-05
收稿时间:2004-09-06
修稿时间:2004-09-06

Geometric Primitive Extraction Using Chaos Genetic Algorithm
JIA Dong-li,Zhang Jia-shu,ZHANG Chao.Geometric Primitive Extraction Using Chaos Genetic Algorithm[J].Journal of Southwest Jiaotong University,2005,40(4):496-500.
Authors:JIA Dong-li  Zhang Jia-shu  ZHANG Chao
Institution:Signal and Information ProcessingKey Lab. of Sichuan Province, Southwest Jiaotong University, Chengdu 610031, China
Abstract:A chaos genetic algorithm was proposed to extract geometric primitives directly from original images. Compared with the traditional geometric primitive extraction, this algorithm needs not do edge detection before geometric primitive extraction. Instead, it directly searches for geometric primitives from an original grey image based on the gradient information. Additionally, this algorithm reduces time and space consumption compared with Hough transform. Simulations show that this method is simple, efficient and reasonably robust.
Keywords:image analysis  geometric primitive extraction  chaos genetic algorithms  Hough transforms
本文献已被 CNKI 维普 万方数据 等数据库收录!
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