SIFT与Harris提取图像特征点的分析研究  

Analysis and Research on Image Feature Points Extraction by SIFT and Harris

作　　者：赵悟 段永璇[1] 段会川[2] 肖宪翠 张睿[1] 岳媛[1] 孙小飞[1] 范军[1] ZHAO Wu;DUAN Yong-xuan;DUAN Hui-chuan;XIAO Xian-cui;ZHANG Rui;YUE Yuan;SUN Xiao-fei;FAN Jun(Shandong Institute of Medicine and Health Information,Jinan 250062,China;School of Information Science and Engineering,Shandong Normal University,Jinan 250014,China)

机构地区：[1]山东省医药卫生科技信息研究所,山东济南250062 [2]山东师范大学信息科学与工程学院,山东济南250014

出　　处：《计算机技术与发展》2018年第12期62-66,共5页Computer Technology and Development

基　　金：国家自然科学基金(61373149);山东省医学科学院面上项目(2016-01);山东省医学科学院创新工程;山东省卫计委面上项目(2015WS0175)

摘　　要：SIFT(尺度不变特征变换)算法与Harris角点检测算法作为两种经典的图像特征点提取算法,在不同的图像处理中,两者体现出的图像特征点提取性能也不同。因此,如何选取合适的评价指标使两种算法在不同类型图像下提取特征点更高效,将对后续的研究与图像分析工作有重要意义。文中利用常用的折线特征主导的图像与光滑曲线特征主导的图像进行实验,并提出了一种指标评价法,即从特征点有效性、计算时效性、特征点相似不变性三方面,分别对SIFT和Harris算法在提取特征点上的有效性进行定量分析。实验结果表明。在保证特征点有效性、计算时效性以及特征点相似不变性一致的情况下,在折线特征主导的图像处理中,Harris角点检测算法与SIFT算法相比,图像特征点的提取更高效;而在光滑曲线特征主导的图像处理中,由于无法检测到足够数量的特征点,Harris角点检测算法与SIFT算法相比,图像特征点的提取性能相对较低。Scale invariant feature transform(SIFT)and Harris corner detection algorithm are two classic image feature point extraction algorithms.In different image processing,they have their own traits in image feature point extraction.Therefore,how to select appropriate evaluation indexes to make the two algorithms more efficient in extracting feature points under different types of images,will be of great significance to the subsequent research and image analysis.In this paper,we take the commonly used polyline features dominant image and smooth curve features dominant image for experiment,and put forward a kind of index evaluation method.From the feature points availability,computational efficiency and feature points invariance,the effectiveness of SIFT and Harris algorithms in extracting feature points is analyzed quantitatively.The experiment shows that in the same way as the above three significant aspects,for polyline feature dominant images,Harris corner detection algorithm performs better than SIFT.But for smooth curved line feature dominant images,Harris corner detection algorithm is drastically degraded since too few feature points are detected.

关 键 词：SIFT算法 HARRIS角点检测算法 特征点有效性 计算时效性 特征点相似不变性 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]