Improved Image Mosaic Algorithm Based on Harris Corner
TU Le-fei · 2012
In order to solve image mosaic optimization problems,a novel improved algorithm is proposed based on the traditional Harris vertex examination algorithm.The proposed algorithm effectively avoids the affecting of selecting k in the corner response function and the threshold T in detection process.During the process of image mosaic,image registration was improved by NCC.And the mean method was used to fuse spliced images and eliminate stitching gaps.In order to verify the effectiveness,the proposed algorithm was evaluated in an example of image mosaic.Simulation results show that this algorithm increases the precision and the efficiency of image mosaic.Consequently,this algorithm can efficiently achieve a goal of seamless mosaic and satisfy the actual demand.