华东交通大学学报Issue(2)：71-77,7.
车载红外视频图像快速彩色化技术研究
Fast Colorization Technology of Vehicle-Mounnted Infrared Video Images
摘要
Abstract
This paper puts forward a color classification method based on color palette technology in the Lab color space so as to carry out efficiently the color processing of vehicle-mounted infrared video images in time. The system firstly applied k-means clustering method to the preprocessed infrared images and obtained the clus-tering center. Then it segmented the block scenery of infrared video images with classification boundaries ob-tained by Fisher evaluation function. The appropriate color was thus given to different scenery frames by the color classification method. Experiments show that the proposed color classification method has much higher efficiency which can obtain realistic image color fit for human vision and is convenient for achieving coloriza-tion of infrared video images at night.关键词
K均值聚类/Fisher评价函数/Lab颜色空间/调色板/分类彩色化Key words
K-means clustering/Fisher evaluation function/Lab color space/color palette/classification color-ization分类
信息技术与安全科学引用本文复制引用
范德营,蒋先刚,丘赟立,熊娟..车载红外视频图像快速彩色化技术研究[J].华东交通大学学报,2013,(2):71-77,7.基金项目
国家自然科学基金项目 （）
