Sub-pixel Image Matching based on the Fractal Dimension

摘要：

　　The technology of image matching is very important in the field of image analysis.Studying on image correlation is the key to improve the accuracy of image matching,while the fractal self-similarity has the unique potential in making full use of image correlation.This paper put forwards a matching algorithm of the sub-pixel image matching based on fractal dimension.Firstly,by searching template subarea based on traverse in being matched image,and the sub-subareas are classified.Then,the fractal dimension of subareas and sub-subareas is calculated by using the optimal box counting method.The similarity maximum position can be found according to the statistical correlation.Finally,fractal interpolation method is used to improve the precision of image matching.Both theoretical analysis and experimental results show that this approach has good matching effect.

关键词： image matching sub-pixel fractal dimension fractal interpolation

作者: Yuan LUO Qiuzhao JIANG Yi ZHANG

作者单位: Optoelectronic Engineering, Chongqing University of Posts and Telecommunications,Chongqing,China School of Automation, Chongqing University of Posts and Telecommunications,Chongqing,China

会议类型: 国际会议

会议名称: 中国微米纳米技术学会第14届学术年会、第3届国际年会暨第6届微米纳米技术“创新与产业化国际研讨与展览会(CSMNT2012 & ICMAN2012)

会议地点: 杭州

会议语种:英文

页码: 1-7

在线出版日期: 2012-11-04（万方平台首次上网日期，不代表论文的发表时间）