基于曲率尺度空间的角点检测图像匹配算法分析  

Analysis of image matching algorithm for corner detection based on curvature scale space

作　　者：任立胜[1] 王立中[1] 

机构地区：[1]内蒙古农业大学职业技术学院,内蒙古包头014109

出　　处：《电子技术应用》2016年第12期112-114,118,共4页Application of Electronic Technique

摘　　要：计算机技术的发展下,优化提升图像匹配算法,可以提升图像检测精度。基于曲率尺度空间的角点检测图技术,优化设计图像匹配算法,基于曲率尺度空间的角点检测算法进行图像特征点的提取,归一化处理特征点,有助于提高图像匹配精度。利用该算法最终实现图像匹配需求,验证了算法的有效性,改进了图像匹配中特征点过度分离的弊端,提高了图像匹配检测的整体精度约10.0%。该算法发挥了积极应用价值,值得在实践应用中推广。With the development of computer technology, optimizing the image matching algorithm can enhance the accuracy of the image detection, this paper optimizes the design of image matching algorithm based on the curvature scale space of comer detection technology, and extracts the feature of image and normalize feature point based on curvature scale space image feature point. It＇s helpful to improve the accuracy of image matching. The results demonstrate that it finally reaches the requirements of image matching by using the algorithm, verifying the effectiveness of the algorithm, improving the defect of over separation of feature points in image matching and enhancing the accuracy of image matching detection by 10.0%. The algorithm has a positive application value, it is worthy of promoting in practical application.

关 键 词：角点检测 曲率尺度空间 图像匹配 

分 类 号：TN27[电子电信—物理电子学]