基于Retinex理论的低照度下输电线路图像增强方法及应用

为提高低照度环境下输电线路图像视频在线监测设备分析的准确性,提出一种基于Retinex理论的低照度图像增强方法.首先采用改进型同态滤波算法增强低照度图像的RGB分量,然后将图像转换至HSV色彩空间中.对多尺度Retinex算法增强图像进行改进,采用双边滤波函数替代Gaussian函数作为Retinex算法的环绕函数,引...

Low illumination transmission line image enhancement method and application based on the Retinex theory

In order to improve the accuracy of transmission line image and video online monitoring equipment analysis resulting in low illumination environment,a low illumination image enhancement method based on the Retinex theory is proposed.First,an improved homomorphic filtering algorithm is used to enhance the RGB component of a low illumination image.Then,the image is converted into the HSV color space.The multi-scale Retinex algorithm is improved to enhance the image.The Gaussian function is replaced by a bilateral filter function as the surrounding function of the Retinex algorithm.The color recovery function is introduced to restore the image color.Finally,the image is converted to the RGB space to obtain the enhanced transmission line image.The simulation results show that this method can effectively improve the contrast,clarity and information entropy of actual low illumination transmission line images.It can also be applied in ice cover warning and foreign body recognition.