一种车载红外视频彩色化算法  

A Colorization Algorithm for Vehicle Infrared Video

作　　者：代中华[1] 孙韶媛[1] 许真[1] 谷小婧[1] 

机构地区：[1]东华大学信息科学与技术学院,上海201620

出　　处：《红外技术》2010年第10期595-600,共6页Infrared Technology

基　　金：国家自然科学基金项目;编号:60502042;60705006;上海市启明星基金项目;编号:06QA14003

摘　　要：针对红外图像成像的特点,将基于Fisher评价函数的多阈值红外图像分割算法和基于先验色彩知识的红外图像上色算法运用到车载红外视频彩色化中。在基于Fisher评价函数的多阈值分割之前对关键帧进行快速模糊C均值聚类,以所得聚类中心来限制多阈值分割中阈值的取值范围,实现了较快的图像分割;再以得到的阈值对红外视频逐帧进行景物分类,同时根据先验知识逐帧对不同景物类别赋予自然彩色。实验结果表明,该算法实现了对车载红外视频的自动彩色化,不仅得到的图像色彩较为真实有利于人眼的目标识别,实时性方面也达到了较好的效果。In this paper a method for vehicle infrared video colorization is proposed which fuses multi-threshold image segmentation algorithm based on Fisher evaluation function and colorization algorithm based on prior color knowledge of infrared image according to the characteristics of infrared imaging.Firstly,we presents fast fuzzy C means clustering segmentation on the key frame images to obtain cluster centers which set multi-threshold segmentation thresholds based on multi-threshold Fisher evaluation function.This can achieve a fast segmentation.Secondly,we classify the infrared video frame by frame using the above thresholds.Finally,we transfer color to the different classes in each frame of infrared video using priori color knowledge.Experimental shows that the algorithm of automatic colorizing vehicle infrared video is effective.These results indicate that the proposed method will benefit the target identification for human eyes and has a good real-time property.

关 键 词：图像处理 视频彩色化 快速C均值聚类 车载红外视频 FISHER评价函数 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]