半导体光电, 2015, 36 (5): 800, 网络出版: 2015-11-30
基于多阈值分割的红外图像伪彩增强算法
Pseudocolor Enhancement Algorithm of Infrared Images Based on MultiThreshold Segmentation
摘要
针对现有图像增强中的彩虹编码采用固定阈值分割方法,导致增强后的图像缺乏层次感、视觉效果模糊的问题,提出一种基于多阈值分割的红外图像伪彩色增强算法。该算法通过建立伪彩映射模型,采用多阈值分割手段,将不同灰度值映射成丰富的颜色值,以突出图像边缘的细节信息。实验结果表明,该算法处理后的红外图像具有目标轮廓清晰、视觉效果理想的优点。
Abstract
Traditional rainbow coding in existing image enhancement system with fixed threshold segmentation presents problems of lacking sense of hierarchy and fuzzy visual effect. Hence it was proposed one infrared image pseudocolor enhancement algorithm based on multithreshold segmentation. Through building pseudocolor mapping model,the algorithm maps grey values into rich color values by means of multithreshold segmentation in order to highlight the edge details of the image. The results suggest that the infrared image has clear target contour and ideal visual effect after the process of the algorithm.
代少升, 申娇, 陈桂芳, 唐华明, 王飞. 基于多阈值分割的红外图像伪彩增强算法[J]. 半导体光电, 2015, 36(5): 800. DAI Shaosheng, SHEN Jiao, CHEN Guifang, TANG Huaming, WANG Fei. Pseudocolor Enhancement Algorithm of Infrared Images Based on MultiThreshold Segmentation[J]. Semiconductor Optoelectronics, 2015, 36(5): 800.