摘要:Due to the similarity in non-homonymy regions in images, the process of image registration based on featured regions may lead to matching errors. To reduce the occurrence of errors, we propose an algorithm that optimizes overlap reductions of featured regions. By reducing similar non-homonymy regions in images, the distinction between feature regions and the matching accuracy can be effectively improved.