【摘要】 为检测输电线缆的运行情况,提出图像拼接与Hough变换相融合的数字图像检测方法。借助MATLAB,对实测图像进行灰度归一化处理,减弱照明视点引起的亮度转换。以自适应非极大值抑制算法筛选,提取特征角点,进行种子点区域增长和匹配,运用Hough变换提取拼接图中目标电缆,判断输电线路运行状态。实验结果表明:所提算法可有效增加目标电缆占据图像的比重,抗干扰能力强,运行效率高,具有工程实践意义。更多还原

【Abstract】 To detect operation of transmission lines,a method of digital image detection fuses image mosaic and Hough transform is proposed. The measured images are processed by gray level normalization,with the help of MATLAB,which weakens the brightness conversion caused by lighting viewpoints. An adaptive non-maximum suppression algorithm is used to screen and extract feature corner points,and seed points region growth and matching are carried out. Hough transform is used to extract the target transmission lines in the mosaic images and judge the running states of the transmission cables. Experimental results show that this algorithm can effectively increase the proportion of the target cable in the image,with strong anti-interference ability and high operation efficiency,and has meaning of engineering practice.更多还原