文件名称:Adaptive-Corner-Detection-
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摘要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,实现简单有效.
关键词高斯平滑;尺度空间;自适应;角点检测-Abstract In image processing,corner point means the dominant point of maximum curvature aiong the
bounding edge of pianar object. A method of detecting and iocaiizing corners of pianar curvature based on Gaussian
scaie 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 estabiished to choose the desired corner
points. The method reguires no input parameter,and experiments were performed to show that the scaie space
corner detector based on Gaussian smoothing is reiiabie for objects with muitipie-size features and noisy boundaries.
Key words Gaussian smoothing;scaie space;adaptive;corner detection
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,实现简单有效.
关键词高斯平滑;尺度空间;自适应;角点检测-Abstract In image processing,corner point means the dominant point of maximum curvature aiong the
bounding edge of pianar object. A method of detecting and iocaiizing corners of pianar curvature based on Gaussian
scaie 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 estabiished to choose the desired corner
points. The method reguires no input parameter,and experiments were performed to show that the scaie space
corner detector based on Gaussian smoothing is reiiabie for objects with muitipie-size features and noisy boundaries.
Key words Gaussian smoothing;scaie space;adaptive;corner detection
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基于高斯平滑的自适应角点检测.pdf
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