关键词: Harris算法, 双边滤波, 多尺度, 角点检测, 近邻传播聚类算法

Abstract: In the image stitching, aiming at the default that the traditional Harris and some present improved algorithms can only detect the corner point in a single scale and there may be loss of corner points, corner location offset and lack of sensitive to noise which leads to low detection rates, this paper presents an optimization corner extraction algorithm based on affinity propagation meaning, compared with bilateral filtering corner detection algorithm. The algorithm which combines bilateral filtering function with the multi-scale detection, uses the affinity propagation algorithm（AP clustering algorithm）, a new clustering algorithm, to optimize the efficiency of the candidate corner extraction. At last, this paper also presents the improved corner detection operator. The experiments are achieved in OpenCV based on Visual Studio 2010 platform. The simulation results show that the proposed algorithm can more accurately detect the image corners with better results and more practicality.

Key words: Harris algorithm, bilateral filtering, multi-scale, corner point detection, affinity propagation algorithm