一种改进的Harris角点图像拼接算法

Improved Image Mosaic Algorithm Based on Harris Corner

主要研究图像拼接的优化问题,针对传统的Harris角点检测算法进行了改进。避免了角点响应函数中的k值和检测过程中的阈值T的选取对角点检测带来的影响。在图像拼接过程中通过NCC对图像进行配准,采用加权平均法对拼接后的图像进行融合并消除拼接缝隙,从而提高了运算的速率。为验证其有效性,该算法被应用于一个图像拼接的实例中,仿真结果表明,该算法缩短了图像拼接所消耗的时间,提高了图像拼接的精度和效率,能够达到无缝拼接的效果,具有良好的实用性。

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.