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| 基于图像灰度的SSDA匹配算法 | |
| 引用本文： | 刘晓光,陈曦,陈政伟,孙静波.基于图像灰度的SSDA匹配算法[J].航空计算技术,2010,40(1):54-57. |
| 作者姓名： | 刘晓光 陈曦 陈政伟 孙静波 |
| 作者单位： | 1. 吉林省计算机技术研究所,吉林,长春,130012 2. 吉林省经济信息中心,吉林,长春,130061 3. 长春工业技术学校,吉林,长春,130062 4. 长春工业大学,计算机科学与工程学院,吉林,长春,130012 |
| 摘 要： | 首先介绍了图像匹配的基本理论，图像的灰度失真、噪声等误差因素会影响匹配性能，并对SSDA算法进行改进，减小了计算量。为了验证算法的有效性，进行了大量仿真实验，结果表明这种方法匹配效果良好，相比于传统的图像匹配算法，计算速度更快、匹配误差更小、鲁棒性更好。 |
| 关 键 词： | 图像匹配 灰度相关 SSDA |
Research on SSDA Matching Algorithm Based on Image Greyscale |
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| LIU Xiao-guang,CHEN Xi,CHEN Zhen-wei,SUN Jing-bo.Research on SSDA Matching Algorithm Based on Image Greyscale[J].Aeronautical Computer Technique,2010,40(1):54-57. | |
| Authors: | LIU Xiao-guang CHEN Xi CHEN Zhen-wei SUN Jing-bo |
| Institution: | LIU Xiao- guang , CHEN Xi, CHEN Zhen- wei, SUN Jing- bo ( 1. Jilin Computer Technology Institute, Changchun 130012, China ; 2. Jilin Economic Information Center, Changchun 130061, China ; 3. Changchun Industrial School, Changchun 130062, China ; 4. School of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China) |
| Abstract: | First, the thesis introduced the basic theory of image Matching, the factor of error as the image greyscale distortion and the noise influenced the matching capacity and improved the SSDA algorithm, reduced the quantity of calculation. In order to verify the effective of the algorithem in the thesis, author have done many simulation experiment, the result indicated this algorithm effict was good at matching. It was faster at calculation , the error was smaller at matching and the robustness was better than the traditional image matching algorithm. |
| Keywords: | SSDA |
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