摘要
为了提高图像边缘检测的质量,采用基因编码算法.首先确定基因头部和尾部的组成,给出了基因表达式树形式,对图像像素进行基因编码,接着图像背景与图像目标之间的灰度差异作为基因表达式树不同的分支,与分支具有同样灰度的像素合并为一类,最后给出了基因编码适应度函数,其选择基于标准误差方法.实验仿真表明,算法提取的灰度图像边缘没有断点,没有伪边缘信息,数据分析较好.
In order to improve the quality of image edge detection,gene encoding algorithm is adopted. First,the paper confirms that the genes consist of heads and tails,then the form of gene expression tree is given,and finally,the image pixel is genetically encoded. After that,the gray difference between the image background and the image object is used as a kind of different branch of the gene expression tree. The image pixel with the same gray level as that of the branch is combined in one category.Finally,the fitness function selection of gene encoding based on standard error method is put forward.Experimental simulation shows that the proposed algorithm would extract the edge of gray image without breaking point and false edge information but with better data analysis.
出处
《成都大学学报（自然科学版）》
2016年第2期153-155,共3页
Journal of Chengdu University（Natural Science Edition）
基金
河南省教育厅高等学校重点科研课题(15B510009)资助项目
关键词
基因编码
像素
边缘提取
gene encoding
pixel
edge extraction
