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基于基因编码算法的图像轮廓特征信息提取研究
引用本文:杜广朝,刘晓,邵明省. 基于基因编码算法的图像轮廓特征信息提取研究[J]. 激光与红外, 2013, 43(7): 818-821
作者姓名:杜广朝  刘晓  邵明省
作者单位:黄河水利职业技术学院,河南 开封 475004;鹤壁职业技术学院,河南 鹤壁 458030
基金项目:河南省教育厅科学技术研究重点项目(No.12B510016)资助;鹤壁职业技术学校技术课题(HZY-2012-52)
摘    要:针对图像轮廓特征信息提取的特点,提出基因编码算法。首先把像素映射为基因个体表达式,用基因编码值区分为图像轮廓特征,接着对像素的每个基因所编码属性筛选进行特征提取,最后给出了图像轮廓特征信息提取的算法过程。实验仿真得出基因编码提取的图像轮廓边缘很清晰,抗噪声能力强,时效性快,边缘点保持指数最接近1。

关 键 词:基因编码;分类;轮廓

Image contour feature information extraction based on genes encoding algorithm
DU Guang-chao,LIU Xiao,SHAO Ming-sheng. Image contour feature information extraction based on genes encoding algorithm[J]. Laser & Infrared, 2013, 43(7): 818-821
Authors:DU Guang-chao  LIU Xiao  SHAO Ming-sheng
Affiliation:Yellow River Conservancy Technical Institute,Kaifeng 475004,China;Hebi College of Vocation and Technology,Hebi 458030,China
Abstract:Aiming at the characteristic of the image contour information extraction,the gene coding algorithm is proposed. Firstly,the pixels are mapped to individual gene expression,image contour features are distinguished by using gene encoding values,then each gene encoding feature of the pixel is selected,and the feature is extracted,finally the image contour feature information extraction algorithm is given. The experimental simulation results show that the extracted image contour with gene encoding is very clear,and the algorithm has strong anti-noise ability and quick response. The edge retention index is close to 1.
Keywords:gene code  classification  contour
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