摘要
图像匹配技术在众多领域中都有重要应用。针对既有平移又有旋转的情形,提出了基于距离约束的角点匹配方法,首先利用角点值进行匹配点对的粗选,然后利用局部角点间距离及全局角点间距离结合进行匹配点对的选取。实验结果表明,该方法可以实现无误匹配的匹配点对,准确性高,对噪声具有一定鲁棒性,且由于匹配过程中主要利用两点间的距离关系,而不需要进行复杂的运算,所以匹配时间大幅减少,在现实中有一定的实用性。
Image matching technology has important applications in many fields. A comer matching method of the constraints of distance was proposed to solve the rotation and translation problem between two images. Firstly the values of comers were utilized to achieve coarse matching election, and then the local and global distance between the comers was combined to select the matching comers. The experimental results show that the methods can achieve accurate matching of no unmatched conners with high accuracy, certain robustness to noise, and as a result of the main use of the distance relationship between two comers without complex calculations in the matching process, so it achieves a substantial reduction in matching time, and also has the practical value.
出处
《计算机应用》
CSCD
北大核心
2010年第1期68-70,81,共4页
journal of Computer Applications
基金
福建省自然科学基金资助项目(A0710008
2009J01283)
福建省科技计划重点项目(2008H0026)
关键词
特征点提取
角点匹配
旋转不变
距离约束
图像拼接
console point extraction
comer matching
rotation invariant
distance constrain
image mosaic
