上海交通大学 机械与动力工程学院， 上海 200240
出版日期:2019-08-28发布日期:2019-09-10通讯作者:苗玉彬，男，副教授，电话（Tel.）：021-34206294；E-mail：ybmiao@sjtu.edu.cn.作者简介:许凤麟(1994-)，男，辽宁省本溪市人，硕士生，从事机器视觉相关研究.基金资助:上海市科研计划项目(16391901700)，上海市科委工程技术研究中心建设专项(17DZ2252300)，上海市科技兴农推广项目（沪农科推字（2015）第4-1号）Navigation Image Enhancement Based on Color Weighted Guided Image Filtering-Retinex Algorithm
XU Fenglin,MIAO Yubin,ZHANG MingSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Online:2019-08-28Published:2019-09-10摘要/Abstract
摘要： 在夜间低照度环境下，轮胎式龙门起重机(RTG)常常需要执行自动驾驶导航任务，针对导航过程中地面引导线图像边缘难以检测的问题，提出一种彩色加权引导滤波-Retinex(CWGIF-Retinex)算法.首先，有针对性地改进加权引导滤波算法的权值估计方案，用矢量梯度方法提取经过Retinex算法处理的彩色图像边缘作为权值；进而，利用CWGIF算法估算引导线图像的照度分量，并通过单尺度Retinex算法计算得到反射分量；最后，通过算法计算得到色彩与轮廓边缘均增强的引导线图像.实验证明，CWGIF-Retinex算法相较于传统算法能够更好地增强弱光照区域的色彩，同时还能起到消除光晕伪影、颜色保真和增强引导线边缘对比度的效果.
关键词: 彩色加权引导滤波算法； Retinex算法； 夜间图像； 色彩增强； 自动驾驶导航； 轮胎式龙门起重机导航
Abstract: Aiming at solving the difficulties in night-time edge detection of guideline during the autopilot navigation of rubber tyred gantry (RTG), a color weighted guided image filtering-Retinex (CWGIF-Retinex) algorithm is proposed. Firstly, the weight estimation of weighted guided image filtering is improved by using vector gradient method. And the edges of color images processed by Retinex are extracted as weights. Secondly, the illuminance components of guideline image are estimated by using CWGIF algorithm. And then, the reflection components are calculated by using the single-scale Retinex algorithm. Finally, an image with enhanced colors and edges is obtained. The results of experiments indicate that CWGIF-Retinex algorithm compared with traditional algorithms can enhance the colors of low illumination area while achieving the goals of removing halo effect, color fidelity, and enhancing the contrast of guideline edges.
Key words: color weighted guided image filtering(CWGIF) algorithm; Retinex algorithm; night image; color enhancement; autopilot navigation; rubber tyred gantry (RTG) navigation
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