摘要
目前红外跟踪技术是当代红外技术的重要军事应用之一,但由于外界的干扰环境及红外热探测器件本身的灵敏度影响了其成像质量。为了提高红外跟踪系统的图像识别精度,本文针对红外探测器生成的空中目标图像,提出用基于小波变换的遗传算法对红外热图像进行处理。实验结果验证该算法可以有效提高图像质量,能够满足跟踪系统的精度要求。
Infrared tracking is an important military application of the infrared technology, but the quality of image and the precision of tracking system are greatly influenced by the environment disturbance as well as the sensitivity of infrared acquisition equipment. In order to improve the image discernment precision of infrared tracking system, the genetic algorithms based on wavelet transform is used in the processing of aerial target thermal image. The result of the experiment shows that this method can improve the quality of the image effectively and meet the precision demands of the infrared tracking system.
出处
《电光与控制》
北大核心
2005年第3期73-76,共4页
Electronics Optics & Control
关键词
小波变换
遗传算法
红外图像处理
wavelet transform
genetic algorithms
infrared image processing
