提出了一种基于特征分类的红外图像自适应匹配增强的新方法。先对大量红外图像的特点做深入分析，对图像进行归纳分类，共分为4类，并用状态空间特征参量表征。针对这些不同特点的红外图像，研究与之相匹配的增强算法。最终完成针对不同的红外图像，自动判断图像类型，并选择相应的参数和算法做增强处理，达到增强算法自适应匹配目的。这样有针对性地对不同特征的红外图像进行增强，提高了增强算法的适用范围。经过MATLAB验证得算法可行，并且增强效果很好。%A new infrared images adaptive matching enhancement method based on characteristics classification is presented in this paper. Firstly we analyze the characteristic of many infrared images, and then classify the images and express them with parameter. Infrared images are divided into four categories. Then we do some research in the matching between infrared images with different characteristics and enhancement algorithms to achieve a good match between some image type and the corresponding algorithms. Finally, according to the type of image, corresponding parameters will be adaptively chosen to enhance the image. Different ways to different images can improve the scope of application of method. Simulation results with MATLAB show that it is a good way to enhance the infrared images.
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