processing

基于矢量匹配法的快速实现程序，工程中较常用(Vector-based matching method for the rapid realization process, more commonly used engineering)

VisualC++数字图像处理技术详解第2版光盘-第二章(VisualC++ digital image processing technology Detailed Version 2 CD- Chapter 2)

通过Gabor结合Lbp提取的特征进行人脸识别，获得很好的识别率(face recognition through gabor with lbp which can get a well ratio)

一种彩色图像增强方法，它用于增强图像的对比度，优化图像视觉效果，同时保持几乎一致的图像色彩保真度.(A color image enhancement method, which used to enhance image contrast, optimizing the image visual effects, while maintaining almost the same image color fidelity.)

程序可实现dwg文件注记的批量替换, 可根据需要进行扩展。(Dwg file program allows batch replacement Note)

说明：  冈萨雷斯matlab图像处理中的代码，现成的函数不同自编(Code in image processing of Gonzalez matlab)

自动种子区域生长代码，用MATLAB运行，不必选择种子点 可以自动选择阈值 实现图像分割(Automatic seeded region growing code, using MATLAB operation, do not need to select seed points can be automatically selected threshold image segmentation)

图像质量评价中全参考方法IWSSIM的代码，是经典方法SSIM的升级(The code of IWSSIM, a full reference method in image quality evaluation, is an upgrade of SSIM, a classical method)

针对电气设备同一场景的红外与可见光图像间一致特征难以提取和匹配的问题，提出了一种基于斜率一致性的配准方法。首先通过数学形态学方法分别提取红外与可见光图像的边缘，得到粗边缘图像；然后通过SURF算法提取两幅边缘图像的特征点，根据正确的匹配点对之间斜率一致性的先验知识，进行特征点匹配；最后通过最小二乘法求得仿射变换模型参数并实现两幅图像的配准。实验结果表明，该方法有效提高了匹配点对的正确率，能够对电气设备红外和可见光图像实现高精度的配准。(In this paper, a method based on slope consistency is proposed to solve the problem that the uniform features of infrared and visible images are difficult to extract and match. Firstly, the edges of infrared and visible images were extracted by mathematical morphology, and the rough edge images were obtained. Then, the feature points of two edge images were extracted by SURF algorithm, and the priori knowledge of slope consistency was obtained according to the correct matching point, and the feature points were matched. Finally, the model parameters of affine transformation are obtained by least square method and the registration of two images is realized. The experimental results show that this method can effectively improve the accuracy of matching points, and can realize high precision registration of infrared and visible images of electrical equipment.)

visualC 数字图像模式识别与技术详解，书籍源码部分。(visual C digital image pattern recognition and techniques detailed books source parts.)