Registration of images with affine geometric distortion based on Maximally Stable Extremal Regions and phase congruency
作者：
Highlights：
• A combination of coarse alignment and refinement is employed in the method.
• Input images are coarsely aligned by fitting and normalizing the matched MSERs.
• A phase congruency and point set registration based refinement step is used.
• The method accurately and efficiently aligns images with affine distortions.
• The method is robust to illumination changes.
摘要
•A combination of coarse alignment and refinement is employed in the method.•Input images are coarsely aligned by fitting and normalizing the matched MSERs.•A phase congruency and point set registration based refinement step is used.•The method accurately and efficiently aligns images with affine distortions.•The method is robust to illumination changes.
论文关键词：Image registration,Affine transformation,Maximally Stable Extremal Region,Phase congruency,Point set registration
论文评审过程：Received 26 July 2014, Revised 3 January 2015, Accepted 10 January 2015, Available online 19 February 2015.
论文官网地址：https://doi.org/10.1016/j.imavis.2015.01.008
