ms_ssim

说明：  包括影像预处理，叶绿素反演，水污染监测等功能(Including image preprocessing, water pollution monitoring and other functions)

已知一个点到一条直线的距离，主要用在地图匹配中基于权重地图匹配算法中(Given a point to a straight line distance, mainly used in the map-matching weight based map-matching algorithm)

说明：  官方出版的opencv教程，学习opencv必备。(Officially published opencv tutorials are essential for learning.)

医学图像 CT/MR 图像的融合算法 使用梯度频率对两图像进行增强并融合，代码运行良好，适合初学者学习（注意无配准功能）(Medical image CT/MR image fusion algorithm uses gradient frequency to enhance and fuse two images, the code runs well, suitable for beginners to learn (pay attention to no registration function))

说明：  经典的图像像素层融合算法-Brovery.程序输入中两幅图像需经过配准，大小一致。matlab代码内有详细的注释。其他像素层融合算法可仿照此修改即可。需要配对图像和运行结果、其它基于小波融合代码的可发邮件给我。非常乐意和大家共享编程乐趣。(classic image pixel level fusion algorithm-Brovery. Import procedures which require a two image registration, the same size. Matlab code with detailed comments. Other pixel level fusion algorithm can be modeled on this amendment. Image matching needs and operating results, the other based on wavelet integration code can mail it to me. Very happy to share programming and fun.)

说明：  matlab编写的直线检测算法，能够有效的提取出直线。和matlab自带的hough变换实现的同样的功能(matlab prepared in a straight line detection algorithm can effectively extract the straight line. And the hough transform matlab own to achieve the same function)

1. ExImage是在DIB类的基础上，扩展了一些基本图像处理功能，除图像格式库外，所有图像处理算法均为自主开发，各处理算法可单独使用。 2. ExImage主要功能包括：颜色增强、校正、配准、拼接、复原、融合、分析、压缩编码等。 关键词：彩色图像处理、自适应中值滤波、图像增强、几何校正、图像配准、图像拼接、图像融合、图像压缩。 (ExImage Image processing toolkit)

说明：  内容：基于MATLAB的小波变换程序 具体功能：实现四级信号的小波分解和重构(Content: wavelet transform based on Matlab: four level signial wavelet decomposition and reconstruction are implemented.)

说明：  计算点目标成像的峰值旁瓣比，积分旁瓣比，分辨率(Calculate peak sidelobe ratio, integral sidelobe ratio and resolution of point target imaging)

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.)