摘要
提出了分形布朗运动的方法增强红外监控图像,利用分形布朗运动模型分析红外图像每个像素并计算出分形维数,根据分形维数和人眼对像素的敏感程度对监控图像进行增强.通过红外监控系统的软硬件试验,人眼视觉特性被引入到监控系统中,图像突出增强了景物的轮廓,使得监控画面能够取得较好的观察效果,该方法能够解决红外监控系统图像边缘模糊可视性差的问题.
Infrared image enhancement method nitoring system. Fractional brownian motion （fbm） image of infrared monitoring system is enhanced by based on fractional brownian motion is proposed＇ in infrared mo- has been as a tool to analyze complexity of infrared image. The fractal dimension and human eye characteristics. Through ex- perimental results of infrared monitoring system the clear and effective image is received. Figure of scenery in the image is more enhanced. This infrared monitoring system can solve edge faintness problem and mend pool effect shortcoming.
出处
《哈尔滨理工大学学报》
CAS
2012年第3期23-26,共4页
Journal of Harbin University of Science and Technology
基金
黑龙江省教育厅科学技术研究项目(11551085)
第51批中国博士后科学基金面上项目(2012M510984)
关键词
红外监控
分形布朗模型
图像增强
infrared monitoring
fractional brownian motion
image enhancement
