基于图像分割与动态规划的红外图像增强算法设计

摘要：针对红外图像在低对比度、低亮度、噪声等方面存在的问题，提出了一种基于图像分割与动态规划的红外图像增强算法。首先，采用Otsu算法对红外图像进行二值化处理，得到目标区域和背景区域，然后对目标区域进行分割，得到不同的目标区域。接着，利用局部均值滤波算法对每个目标区域进行去噪处理，再利用灰度级映射算法进行增强处理。最后，利用动态规划算法将增强后的目标区域与背景区域进行融合，得到最终的增强图像。实验结果表明，该算法能够有效提高红外图像的对比度和亮度，并减少噪声的影响，具有较好的增强效果。

关键词：红外图像；图像分割；动态规划；增强算法

Abstract: In view of the problems of low contrast, low brightness, and noise in infrared images, a infrared image enhancement algorithm based on image segmentation and dynamic programming is proposed. First, the Otsu algorithm is used to perform binary processing on the infrared image to obtain the target region and background region, and then the target region is segmented to obtain different target regions. Then, the local mean filtering algorithm is used to perform denoising processing on each target region, and then the gray level mapping algorithm is used to perform enhancement processing. Finally, the dynamic programming algorithm is used to fuse the enhanced target region and the background region to obtain the final enhanced image. Experimental results show that the algorithm can effectively improve the contrast and brightness of infrared images, reduce the influence of noise, and the enhancement effect is good.

Keywords: infrared image; image segmentation; dynamic programming; enhancement algorithm