CAJ | 학술논문

针对传统的图像特征匹配算法数据量大、计算耗时长的缺点,本文提出了一种改进的基于SURF的快速图像配准算法。该算法在积分图像的基础上进行快速计算,通过快速Hessian检测子来检测特征点。对于每个特征点,通过计算哈尔小波变换来确定其主方向,并确定特征点描述子,再根据描述向量之间的欧式距离实现图像间的特征点的匹配。实验表明,该算法既能满足匹配准确性的要求,又具有计算量小、计算速度快的优点。
침대전통적도상특정필배산법수거량대、계산모시장적결점,본문제출료일충개진적기우SURF적쾌속도상배준산법。해산법재적분도상적기출상진행쾌속계산,통과쾌속Hessian검측자래검측특정점。대우매개특정점,통과계산합이소파변환래학정기주방향,병학정특정점묘술자,재근거묘술향량지간적구식거리실현도상간적특정점적필배。실험표명,해산법기능만족필배준학성적요구,우구유계산량소、계산속도쾌적우점。
With the shortcomings of the large data amount and long time consuming in the conventional image feature matching algorithms,a new algorithm based on SURF for image registration is presented in this paper.It is fast computed based on the integral image and through the Fast-Hessian detector,the feature points are extracted.For each feature point,the dominant orientation is assigned by computing Haar-wavelet responses,and then the descriptor is generated.Image matching is made based on Euclidean distance between these descriptors.Experimental result shows that this algorithm can not only meet the requirement of accuracy,but also has a small data amount and fast speed for image registration.