SNR

进行图像格式的转换，可以由bmp转换为tif、jpg等格式(Image format conversion, may tif, jpg bmp format conversion by the)

图像处理matlab程序的源代码。包括图像的高通滤波和掩模处理，图像的阈值分割等。(MATLAB image )

对图像采用DCT变换后，进行图像去噪的算法(Image denoise by DCT)

matlab结合GPU的资料，初学者可以看看，很不错的解释,适合参考(matlab GPU combined data, beginners can see, very good explanation for the reference)

说明：  基于最小变分方法的快速图像复原方法，图像复原质量不变的情况下，加速算法的效率。(Image restoration based on Total Variation.)

SUIF help info, SUIF is a project developed by Monica S. Lam

本程序是多结构元素形态学滤波的探讨，通过选择不同的结构元素多尺度序列Bi，来得到最合适的结果(This program is a multi-structure elements of morphological filtering by selecting different multi-scale structure elements sequence Bi, get the most appropriate results)

说明：  bp人工神经网络模式识别教程示例，研究人脸识别 手势识别有帮助(bp nervel network trainning and recognition ,e.g:face & dynamic hand gesture detection and face recognition .I hope it would be very useful for researcher !)

SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。 该方法于 1999 年由 David Lowe 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004 年再次经 David Lowe 整理完善后发表于 International journal of computer vision（IJCV） 。截止 2014 年 8 月，该论文单篇被引次数达 25000 余次。(来自百度)(SIFT, namely Scale-invariant feature transform (SIFT), is a description used in the field of image processing. This description has scale invariance and can detect key points in images. It is a local feature descriptor. This method was first published by David Lowe at the International Conference on Computer Vision (ICCV) in 1999 and published in the International Journal of Computer Vision (IJCV) in 2004 after it was sorted out and perfected by David Lowe again. As of August 2014, more than 25,000 citations have been cited. (From Baidu))

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. )