计算机与数字工程2016，Vol.45Issue(7)：1353-1356,4.DOI:10.3969/j.issn.1672-9722.2016.07.035
基于改进遗传算法的图像边缘特征提取
Edge Feature Abstract of Image Based on Improved Genetic Algorithm
乔玲玲 1毛晓菊1
作者信息
- 1. 商丘学院计算机工程学院 商丘 476113
- 折叠
摘要
Abstract
As a kind of practical and sane optimum searching algorithm,the genetic algorithms has already permeated into many disciplines and project fields,whose application in digital image processing is also extensive day by day.In order to quickly and efficiently extract the edge of the image,in this paper,the selection,crossover and mutation operator of genetic algorithm are improved,and it is applied to extract the edge of the image.The experimental results show that improved gen-tic algorithm can detect satisfactory edges as well as improve convergence,which is a kind of efficient and reliable optimiza-tion arithmetic,having some applied value.关键词
遗传算法/边缘特征提取/阈值/图像分割Key words
genetic algorithm/edge feature abstract/threshold/image segmentation分类
信息技术与安全科学引用本文复制引用
乔玲玲,毛晓菊..基于改进遗传算法的图像边缘特征提取[J].计算机与数字工程,2016,45(7):1353-1356,4.
