基于L0平滑和随机游走的变电设备红外图像分割

针对经典随机游走分割的不足,本文提出了基于L0平滑的随机游走分割方法。利用基于L0梯度最小化的图像平滑方法对红外图像进行预处理,在此基础上对图像进行随机游走分割。实验结果表明基于L0梯度最小化的图像平滑方法能够降低局部图像灰度值变化对经典随机游走分割路径的影响,在很大程度上提高了经典随机游走对变电设备红外图像分割的准确性。

Segmentation of substation equipment infrared image based on L0 smoothing and random walker

Aiming at the problem of classical random walker segmentation,a segmentation method based on L0 image smoothing and random walker is proposed. The substation equipment infrared image is preprocessed by using the method of smoothing based on L0 gradient minimization and then segmented by random walker. Experimental results show that the segmentation method based on L0 image smoothing and random walker can reduce the influence of local image gray value change on the segmentation path of random walker,and can improve the accuracy of the classical random walker greatly on the substation equipment infrared image segmentation.