金属腐蚀区域图像增强算法研究

针对金属腐蚀区域图像中存在暗细节对比度不高、光照不均匀及颜色特征需保护的问题，提出一种在HSI模型下的多尺度细节自适应增强与同态滤波的增强算法。首先，对RGB腐蚀图像进行色彩空间变换，保留其中的色调和饱和度分量不变，对亮度分量进行增强。然后，通过小波变换进行多尺度细节自适应增强，提升细节对比度并作分块同态滤波，改善光照不均的影响，获得增强后的腐蚀图像。实验结果表明，所提方法增加了腐蚀暗细节的对比度，提高了金属腐蚀区域图像的整体亮度并保证了色彩信息的不失真。

Image enhancement algorithm in metal corrosion area

Considering the images of the metal corrosion areas, the dark details have low contrast, and the illumination is not uniform; meanwhile, the color characteristics need to be preserved. To solve these problems, an approach based on multi-scale detail-adaptive enhancement and homomorphic filtering is proposed on the basis of the HSI model. First, the RGB corrosion image was color-transformed, whereby the hue and saturation components were preserved, and the luminance component was enhanced. Then, wavelet transform was used to implement multi-scale detail-adaptive enhancement, increase the contrast of the detail, and apply block homomorphic filtering, so as to improve the impact of non-uniform illumination. Consequently, the corrosion image was enhanced. Experimental results show that the proposed method can increase the contrast of dark details and improve the overall brightness of the image of the metal corrosion area, ensuring that the color information is undistorted.