Improved corner detection algorithm based on optimization of affinity propagation clustering
LIU Wenjin1, ZHANG Lei2, SUN Jinguang1
1.School of Electronic and Information Engineering, Liaoning Technical University, Huludao, Liaoning 125105, China
2.Institute of Graduate, Liaoning Technical University, Huludao, Liaoning 125105, China
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.