基于高斯平滑的自适应角点检测

Adaptive Corner Detection Based on Gaussian Smoothing

文中算法首先在曲线尺度空间中通过高斯平滑以消除噪声 ;然后再基于自适应弯曲度计算和角点筛选准则确定角点 该算法不需要预先输入参数 ,具有较好的抗干扰性 。

In image processing, corner point means the dominant point of maximum curvature along the bounding edge of planar object A method of detecting and localizing corners of planar curvature based on Gaussian scale space is presented An adaptive curvature estimate method measures the significance of each point on the boundary preprocessed by Gaussian smoothing; then a criterion is established to choose the desired corner points The method requires no input parameter, and experiments were performed to show that the scale space corner detector based on Gaussian smoothing is reliable for objects with multiple size features and noisy boundaries