基于局部自适应阈值分割算法的高压线图像检测方法

A High Tension Line Image Detection Method Based on Local Adaptive threshold Segmentation Algorithm

采用数字图像处理技术,针对高压线及其环境图像的特点,提出一种基于局部自适应阈值分割算法的高压线图像检测方法。利用灰度图像特性,采用图像算术运算方法去除图像背景,以降低后续处理的难度。在检测高压线和滤除"虚假边缘"时,采用图像局部自适应阈值分割算法,弥补Hough变换算法的不足。实验结果表明,该算法能在复杂背景中对高压线进行有效识别。

From the perspective of the digital image processing technology, in view of the high tension line and its image characteristics of the environment, this paper proposes a high tension line image detection method based on local adaptive threshold segmentation algorithm. In this paper, using the gray image features, image algebra operation method is used to remove the image background, to reduce the complexity of the subsequent processing. In the detection of high tension line and filter the false edge, this paper uses the local adaptive threshold image segmentation algorithm, avoiding the Hough transform algorithm has been widely used in some disadvantages, Finally in the original image to identify the position of the high tension line to the operating personnel to be alert. Results show that this algorithm can effectively to the high tension line in complex background for identification.