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介绍基于彩色不变理论的SIFT算法（CSIFT算法）的文章，文章是英文的(Color change based on the theory introduced SIFT algorithm (CSIFT algorithm) article, the article is in English)

说明：  压缩感知 ：非传统采样的模型实例和众多应用(model based compressivetoolbox)

说明：  《数字图像处理与机器视觉:Visual C++与Matlab实现》5 图像分割,霍夫变换,Hough变换直线检测的Matlab实现(&quot Digital image processing and machine vision: Visual C++ and Matlab to achieve&quot 5 image segmentation, Hough transform, Hough transform line detection of the Matlab implementation)

去除高斯噪声的有效码源，去噪能力强，使简单。(The effective removal of Gaussian noise source code, denoising capability, so that simple.)

这个是把图像归一化的程序，原始的图片可以随意设置，效果比较好。(This is the image of the normalized program, the original pictures can freely set, the effect is good. )

基于颜色特征的图像检索系统，，做 了GUI节目，直观(Color-based Image Retrieval System, made a GUI program, intuitive)

说明：  本程序利用python程序对hdf文件进行处理，转换格式。(This procedure USES python program to process THE HDF file, convert the format)

应用harris算子进行角点检测，然后利用相关性检测得到匹配焦点，然后进行图像的重采样，适于对于彩色图像的处理，对于灰度图像，只要将harris算子检测时的图像从彩色道灰度图像的语句去掉即可(Application of operator harris corner detection, and then make use of relevant test match to be the focus, and then carried out resampling images, suitable for color image processing, for gray-scale images, as long as the operator will harris Detect when the image from color Road gray-scale images can be removed from the statement)

说明：  利用直方图均衡可以将对对比图进行调整，增强局部的对比度，特别在图像有用对比度相当接近的情况，直方图均衡可以很好的增强对比度使得图像的细节更清晰，达到图像增强的目的。(Histogram equalization can be used to adjust the contrast graph to enhance the contrast of the local image, especially in the case that the useful contrast of the image is quite close. The histogram equalization can improve the contrast degree so that the details of the image are clearer and the purpose of image enhancement is achieved.)

说明：  图像处理算法质量评估，图像结构相似度（ssim)评价的matlab实现，并附带原始论文pdf(This is an implementation of the algorithm for calculating the Structural SIMilarity (SSIM) index between two images. Please refer to the following paper: Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error measurement to structural similarity" IEEE Transactios on Image Processing, vol. 13, no. 1, Jan. 2004.)