基于特征点的改进SIFT岩心图像匹配算法  

Improved SIFT Algorithm of Image Match Based on Feature Point

作　　者：翟丽杰[1] 

机构地区：[1]渭南师范学院物理与电气工程学院,渭南714000

出　　处：《计算机与数字工程》2013年第6期981-983,共3页Computer & Digital Engineering

基　　金：陕西省教育厅科学研究项目计划(编号:12JK0672);渭南师范学院研究生项目计划(编号:11YKZ023)资助

摘　　要：依据特征点的图像匹配就是提取出待匹配图像的特征点并对特征点匹配的过程。特征点提取的精度和实时性会对特征点匹配的准确度和效率产生很大影响。SIFT算法是具有来良好特性的特征点提取方法,本文详细介绍了SIFT算法提取特征点的实现步骤,并针对传统SIFT算法实时性不能满足岩心采集系统需要的问题,做了相应的改进简化。Based on the feature points of the image matching are extracted from the images to be matched feature points and the feature point matching process. Feature point extraction accuracy and real-time performance of feature point matching have great influence in accura- cy and efficiency. SIFT algorithm is a good characteristic of feature point extraction method, the SIFT algorithm to extract the feature points of the implementation steps, and in the light of traditional SIFT algorithm for real-time acquisition system can not meet the need of the core issue, corresponding improvement and simplification on traditional SIFT algorithm are introduced in this paper.

关 键 词：特征点 图像拼接 SIFT算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]