imagesegment

用matlab编程实现的POCS-TVM算法，重建了一幅大小180*180的Shepp-Logan头部模型图像，探测器个数260，投影角度为均匀发布在0-180度之间的60个角度。(The POCS-TVM algorithm based on MATLAB programming is used to reconstruct a Shepp-Logan head image with a size of 180*180. The number of detectors is 260, and the projection angle is 60 angles that are evenly distributed between 0-180 degrees.)

用加密代码将文字隐藏在图片中，用解密代码将文字提取。c++(The text is hidden in the picture with encrypted code, and the text is extracted with decryption code.)

在linux系统中通过卷积神经网络实现图像风格迁移(Image style migration through convolution neural network in linux)

matlab实现的小波图像压缩，序列图像压缩处理，效果很理想(Matlab realization of wavelet image compression, image compression sequence, and the effect is very satisfactory)

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.)

FAST ICA 算法用于ICA实验，可用于人脸识别等领域(FAST ICA algorithm for ICA experiments, can be used in areas such as face recognition)

将.rgb格式的图像转换为.yuv格式的图像,.yuv格式的图像按4：2：0采样(will. Rgb format conversion of images. YUV format images. YUV format image with 4:2:0 sampling)

说明：  高斯混合背景建模MATLAB代码，用于背景提取，获得前景(Gaussian mixture background modeling MATLAB code for background extraction, to obtain the foreground)

自己编写的粒子群优化算法,以计算一个函数的值作为测试,达到了良好的精度(The particle swarm optimization algorithm written by ourselves is designed to calculate the value of a function as a test, and good precision is achieved.)

文件包里，包含大量的OSG学习代码，和事列讲解，代码分析，功能实列，是学习入手的很好的助手，不需再买书，里需覆盖面很广(Osg study code information example)