红外技术, 2010, 32 (5): 288, 网络出版: 2011-01-05
改进的基于特征点匹配的图像拼接算法
Improved Image Mosaic Algorithm Based on Feature Point Matching
Harris 角点检测 加权融合 缝隙消除 Harris detector weighted function of image composition removing seams of image
摘要
为了消除拼接图像中的缝隙,提出了一种改进的图像无缝拼接算法。该算法首先用Harris 角点检测提取特征点,接着建立两幅图像间角点的映射关系,最后用改进的加权方法进行图像融合。试验结果表明改进后的方法能有效地对两图之间有一定旋转角度的情况进行无缝融合,方法可行有效且鲁棒性好。
Abstract
Aiming at removing the seams in a mosaics image, we present the improved weighted functions. First, the corners were got by using Harris detector, and then affine transformation can be obtained with least mean square,at last images were fused by using improved weighted functions. The results show that this novel method can handle the image composition problems between rotated images effectively.
姚伟, 胡茂海, 秦晅, 赵钦君. 改进的基于特征点匹配的图像拼接算法[J]. 红外技术, 2010, 32(5): 288. YAO Wei, HU Mao-hai, QIN Xuan, ZHAO Qin-jun. Improved Image Mosaic Algorithm Based on Feature Point Matching[J]. Infrared Technology, 2010, 32(5): 288.