基于内积的直线检测方法

Line Detection Method Based on Inner Product

本文提出了一种新的直线检测算法:基于内积的方法。首先,引入图像点的内积能量运算,该运算不但能有效地增强直线边缘,而且还具有抑制噪声和非直线边缘的能力。然后,利用内积能量取代梯度幅值,提出一种增强直线的边缘检测算法。最后,在检测的边缘中应用梯度内积检测直线边缘。实验结果表明,与文献中广泛使用的相位编组算法相比,本文方法除具有更强的抗噪声能力外,在低对比度直线检测方面也具有更好的性能。

This paper presents a new approach based on inner product for line detection. Firstly, the inner product energy of image points is introduced, which not only can enhance line edges but also restrain image noise and non-line edges. Then, an edge detection method with enhancing lines is proposed by replacing the gradient argument with the inner product energy. Lastly, the inner product of gradients is used to extract lines form the detected edges. Experiments show that, in addition to a better performance of noise resistance, the approach in this paper perferms better than the phase-grouping algorithm widely used in literatures in detecting low contrast lines.