摘要
针对雾霾、夜色等不利天气条件下,电视制导导弹获取的目标图像存在噪声大、对比度低、颜色失真、重要特征不明显等问题,采用直方图均衡化方法对导弹目标图像进行增强处理,分别使用常规直方图均衡化算法、局部直方图均衡化算法和对比度受限自适应直方图均衡化算法完成了导弹目标的图像增强。仿真结果显示,对比度受限自适应直方图均衡化算法在处理灰度图像方面效果良好,不仅能够增强图像对比度,同时保护图像中的一些细节,还能快速地完成对图像的处理,适用于导弹目标图像增强工作。
Considering the problems of high noise,low contrast,color distortion and significant features misrepresented of images captured by TV guided missiles under the bad weather conditions,histogram equalization is adopted to enhance the images. Traditional histogram equalization algorithm,local area histogram equalization algorithm and contrast-limited adaptive histogram equalization algorithm are used,respectively.The simulation results show that,contrast-limited adaptive histogram equalization algorithm can not only enhance the image contrast,but also protect the details of the images. Besides,it has faster processing speed,which is more suitable for the missile target image enhancement.
出处
《陕西理工大学学报（自然科学版）》
2017年第6期55-58,63,共5页
Journal of Shaanxi University of Technology:Natural Science Edition
基金
国家自然科学基金资助项目(51541905)
