一类参数空间利用率最优的直线检测方法

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针对Hough变换过程中参数空间利用率低的问题,提出了一类直线检测方法,该方法极大地提高了参数空间的利用率。首先提出了基于仿射变换的Hough变换的实现方法,然后提出了实现完全空间Hough变换的充分必要条件并给予证明,从而建立了能够实现完全空间Hough变换的仿射变换形式,最后提出了一种典型的完全Hough变换形式并给出了算法的详细计算过程。对图像进行特定的仿射变换以改变其定义域,对仿射变换后图像进行Hough变换并计算直线参数。仿真结果表明:该方法对参数累加数组的利用率可以达到100%;同时,与其他方法相比,检测精度得到了提高。 Aiming at the problem of low utilization of parameter space in Hough transform, a kind of line detection method is proposed, which greatly improves the utilization of parameter space. Firstly, the method of implementing Hough transform based on affine transformation is proposed. Then, the sufficient and necessary conditions for implementing full-space Hough transform are proposed and proved, and the affine transformation form which can achieve full-space Hough transform is established. Finally, A typical complete Hough transform is given and a detailed calculation of the algorithm is given. A certain affine transformation of the image to change its domain, the affine transformation of the image Hough transform and calculation of linear parameters. Simulation results show that this method can achieve a 100% utilization rate of the parameter accumulation array. Meanwhile, compared with other methods, the detection accuracy is improved.
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