视差图完整

颜色和纹理特征的图像分割 颜色和纹理特征的图像分割(Image Segmentation Based on Color and Texture Features)

基于模型匹配的永磁同步电机混沌化控制例子，是本人一点点做出来的。(this is a example for Chaos Anti-Control of Permanent Magnet Synchronous Motor Based on Asymptotic Model Matching. it was completed by myself.)

用SIFT算法实现了刚性和非刚性图像的配准 并且效果非常理想 SIFT的特征点的提取 描述 和匹配的算法有注释(Nonrigid Registration Using Free-Form Deformation. )

对一幅图片批量添加20个级别的噪声，支持添加高斯白噪声和椒盐噪声两种噪声。(Add a picture batch 20 levels of noise, two noise support the addition of white Gaussian noise and salt and pepper noise.)

图像匹配最新的源码 matlab 适合初学者和进阶者作者hongshengli (The latest source of image matching matlab for beginners and advanced by Author hongshengli)

自适应直方图均衡算法，对彩色图像的处理，有很好的效果。尤其是针对医学图像，内窥镜图像。(Adaptive histogram equalization algorithm for color image processing, have a good effect. Especially for medical images, endoscopic images.)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为ILRS算法，对256*256的lena图处理，比较原图和IRLS算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间(Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and IRLS algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using IRLS algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

用于实现基于压缩感知在傅里叶系数域上的图像融合(For image fusion based on compressed sensing in the domain of Fourier coefficients)

Some of image processing tools in visual C++

图像超分辨率是指从一序列低分辨率观测图像中重建高分辨率图像。图像超分辨率充分利用了各帧图像 间相似而又不同的信息。(Compared with the model derived from Kolmogorov spectrum, the new model introduces more complete transcendent constraints and is more similar to the physical characteristics of atmospheric turbulence.)