Kind of fast Hough transform used in line detection
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摘要: 在直线参数检测的哈夫变换中,基于两点确定一条直线的几何原理,可以消除图像点与参数点对应关系中的不确定性,利用这个原理可缩小每个非零图像点对应的参数空间,减小每个非零图像点的计算量.同时将整幅图像分成小块表决,能大幅度减少哈夫变换的总计算量,而参数检测的精度保持不变.Abstract: Hough transform is a widely used algorithm in computer vision and pattern recognition. However, the tremendous computation required by Hough transform impedes it used in real-time applications. The standard Hough transform used only the information of a single non-zero pixel, which causes the huge computation. The relationship between two pixels is concerned in the presented scheme. A line parameter is obtained from the coordinates of two pixels, so the computation is deceased distinctly. The testing data shows that the fast algorithm is faster 10~100 times than the standard one in a same platform,while the precision is kept.
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Key words:
- pattern recognition /
- computer vision /
- Hough transform
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