SIFT算法在卷烟小包装图像配准中的应用  

Application of SIFT algorithm in image registration of cigarette case

作　　者：朱梅华 魏承科[2] 张素伟[3] 

机构地区：[1]广西壮族自治区烟草专卖局,南宁530022 [2]华北计算技术研究所,北京100083 [3]太极计算机股份有限公司,北京100083

出　　处：《计算机工程与应用》2012年第21期244-248,共5页Computer Engineering and Applications

摘　　要：由于SIFT算法在寻找关键点时,只考虑了图像的局部特征,使得在具有复杂纹理背景的图像处理中,无法提取出具有代表性的特征点。针对这一问题,提出在提取关键点的时候,考虑特征点间的相关性,参照SSIFT算法缩小特征描述的维数,利用统计的方式缩短算法执行时间,使得算法能快速提取到具有代表性的关键点,滤掉纹理图案中的关键点。通过实验证明了算法的执行效率以及算法的普适性。SIFT only considers local characteristics of the image during the searching of key points,therefore it is unable to extract representative feature points in processing image with complex texture background.To solve this problem,this algorithm considers the correlation between the feature points when extracting key points,reduces the dimension of feature description in the reference of SSIFT algorithm,and uses the statistical method to reduce the algorithm execution time.In this way,it can quickly extract the representative characteristics and filter out the key points of the texture pattern.The experiment results prove the efficiency and universality of the algorithm.

关 键 词：尺度不变特征变换(SIFT) 图像配准 图像匹配 关键点 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论]