针对目前Harris算法存在的对噪声敏感和检测率不高的不足,提出一种双边核函数的新Harris角点检测算法。算法首先采用双边滤波器来代替原有的高斯低通滤波器,来增强算法的鲁棒性;接着采用多尺度分解来建立真实角点和伪角点的分割阈值。实验结果表明,提出的算法能精确地检测图像角点。
To overcome the problems of insensitiveness to noise and low detection rate in original Harris algorithm,a novel corner detection algorithm based on bilateral kernel function is presented.Firstly bilateral filter is used to replace the Gauss lowpass filter,which improves the robustness of Harris algorithm.Then the multi-scale decomposition is applied to produce segmentation threshold of the true corner and the false corner.Experimental results show that the proposed algorithm can precisely detect comers in images.