SINQ_release

非压缩视频图像帧内水印的密写与复密写研究，源码和论文材料(Video Watermarking Steganography)

基于DCT变换的图像压缩matlab实现（附测试图）(DCT-based image compression transform matlab realize (with the test chart))

很好用的风能利用系数曲线，对开始学习的同学有帮助(Good use of wind energy utilization coefficient curve, start learning help students)

在对话框中实现splitter(achieve splitter)

说明：  内有matlab的gui编程，界面设计，图像转灰度图，边缘检测(There are Matlab GUI programming, interface design, image to grayscale, edge detection)

应用matlab或VC语言编制的图像处理源程序，适合课程设计。(Application matlab or VC image processing source code compiled language for curriculum design.)

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.)

说明：  计算机图形学初级学者（教科书画法）中点画圆算法(computer graphics beginner (textbook method), the algrithm of middle point circle-drawing.)

说明：  这是一个实现图像缩放的MATLAB源代码，可以有用户自己调节缩放的倍数(This is an image scaling to achieve the MATLAB source code, users can zoom in multiples of its own regulation)

说明：  k-means,DB-SCAN,基于密度峰值的聚类算法的matlab简单实践Clustering-matlab-master(k-means,DB-SCAN,Clustering-matlab-master of Simple practice of matlab based on density Peak clustering)