光学技术, 2010, 36 (4): 554, 网络出版: 2011-02-21
公路场景去雾技术研究
Study of defog technology for road scene
摄像机标定 消失线 衰减-空气光模型 单目视觉 Hough变换 边界检测 去雾 camera calibration vanishing line attenuation-airlight model monocular camera machine vision Hough transform edge detection defog
摘要
提出了一种应用单目机器视觉技术并结合Hough变换消失线检测和边界检测技术来构建距离深度图的方法, 并应用衰减-空气光去雾模型对图像进行了恢复。结果表明, 采用该方法恢复的道路图像色彩自然, 模型与实际道路完全匹配, 对于不同距离的景物都具有良好的恢复效果。
Abstract
In order to remove weather effects from images, monocular camera machine vision, Hough transform and edge detection are combined to construct the scene depth map. It is assumed that the brightness of each pixel at the receiver is composed of scene point attenuation irradiance and airlight illumination scattering intensity, by removing airlight illumination scattering and removing particles to restore the image degraded in foggy day, the color of image restored by this method is natural, the model and real road are matched accurately, the different distance scene has satisfied effect.
刘红军, 宫爱玲, 周燕, 王新伟. 公路场景去雾技术研究[J]. 光学技术, 2010, 36(4): 554. LIU Hong-jun, GONG Ai-ling, ZHOU Yan, WANG Xin-wei. Study of defog technology for road scene[J]. Optical Technique, 2010, 36(4): 554.