摘要
图像配准是数字图像处理中一个重要研究领域,是图像拼接、图像超分辨率重建的基础,基于尺度不变特征的图像配准已成为最近几年的热门研究领域,SURF算法是其中之一。对于具有尺度差异(SD)同时满足仿射变换的图像,传统SURF算法存在较大误匹配,从而影响最后的配准精度。针对误匹配问题,采用基于尺度限制(SR)的SURF算法并利用样本统计的方法来剔除误匹配,实验结果表明基于尺度限制的SURF算法能够有效的剔除误匹配,从而提高图像配准的精度。
Image registration is an important research field in digital image processing, which is the basis of image stitching and image reconstruction. Recently, image registration based on scale invariant feature becomes a hot study topic, and SURF algorithm is one of hot topic. For an affine transformation and scale difference between images, the traditional SURF algorithm has a large mismatch,which affects the final registration accuracy. Aiming at the mis- match problem, in this paper, scale restrict and sample statistics are used to reject mismatch. The experimental re- suits demonstrate that this method can effectively reject mismatch and improve precision of the image registration, therefore the accuracy of image registration could be improved.
出处
《电子测量与仪器学报》
CSCD
2013年第10期963-967,共5页
Journal of Electronic Measurement and Instrumentation
基金
国家自然科学基金(61174170)
安徽省高校自然科学研究重点项目(KJ2010A193)
关键词
尺度不变
图像配准
仿射变换
SURF算法
尺度差异
scale invariant
image registration
affine transformation
SURF algorithm
scale difference
