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基于灰度变换的红外图像实时分割算法
引用本文:郝伟,苏秀琴,李哲.基于灰度变换的红外图像实时分割算法[J].光子学报,2008,37(5):1077-1080.
作者姓名:郝伟  苏秀琴  李哲
作者单位:1. 中国科学院西安光学精密机械研究所,西安,710119;中国科学院研究生院,北京,100039
2. 中国科学院西安光学精密机械研究所,西安,710119
摘    要:针对高灰度等级红外数字图像提出了一种基于灰度变换的实时分割算法.通过实时分析原始图像中几个小区域的灰度直方图,自动确定分割阈值,将原始图像通过灰度变换实时转换为低灰度等级图像.该算法能够将高灰度等级的红外数字图像实时显示在普通显示器上,并且能够有效抑制背景并保留目标灰度信息.由于变换后的图像灰度等级较低而且背景及噪音信息较弱,极大地提高了红外跟踪器的性能.

关 键 词:红外图像  灰度变换  实时分割
收稿时间:2006-12-13
修稿时间:2007-03-07

A Real-Time Segmentation Algorithm for Infrared Image Based on Gray Scale Transform
HAO Wei,SU Xiu-qin,LI Zhe.A Real-Time Segmentation Algorithm for Infrared Image Based on Gray Scale Transform[J].Acta Photonica Sinica,2008,37(5):1077-1080.
Authors:HAO Wei  SU Xiu-qin  LI Zhe
Abstract:An real-time segmentation algorithm based on gray scale transform is presented aiming at high gray scale infrared image.By real-time analyzing the gray histogram of several small area in the original image,the segmentation threshold is automatically made sure.Then the original image real-time is transformed to the low gray scale image based on the segmentation threshold.The algorithm can put the high gray scale infrared image to the general display for real-time showing,could effectively restrain the background information and reserve the goal gray information.Because the transformed image is low gray scale and its′ background and yawp is low,the performance of the infrared tracker is obviously improved.
Keywords:Infrared image  Gray transforming  Real-time segmentation
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