摘要
根据红外热图像的特点,并克服传统伪彩色处理方法的缺陷,提出一种基于分段均衡的红外热图像伪彩色编码方法。先通过对红外热图像采用改进的K-means算法进行聚类,对聚类结果的各类像素点坐标进行统计,根据统计结果在原始红外热图中进行分段均衡,再通过彩虹编码法对分段均衡后的图像进行伪彩色编码。实验结果表明:通过该方法编码后的红外热图像色彩丰富,细节增强,具有更好的层次感,便于人眼观察分析以及应用。
According to the characteristics of infrared thermal image,a pseudo-color coding method of infrared thermal image based on segmentation equalization was proposed to overcome the defects of the traditional pseudo color process-ing method. Infrared image is clustered by using improved K-means algorithm, and the various pixel,s coordinates of the clustering results are calculated statistically. Then segmented equalization is carried out according to the statistical results in the original infrared thermal image, and the segmented equalization images are coded by rainbow encoding method. Experimental results show that the infrared thermal image encoded by this method has rich color and detail, and has a better sense of hierarchy, which is convenient for human eye observation and analysis.
出处
《激光与红外》
CAS
CSCD
北大核心
2017年第8期1051-1056,共6页
Laser & Infrared
基金
国家自然科学基金项目(No.61201361)
北京市优秀人才资助计划项目(No.2013D005015000008)资助
