MatlabMedialAxis-Ver1.0

很好用的图像分割方法，大家可以试一下，我运行过了(Very good segmentation method, very useful, you can have a try, I used the effect is very good)

图像处理 matlab图像压缩程序， 包括图像压缩的各种技术(image processing image compression in matlab, including technologies in image compression)

應用視覺密碼原理之浮水印技術，包含程式碼與原始論文檔(Application of the principle of visual cryptography watermark technology, contains the original code of the document)

用于数字图像处理的椒盐噪声滤波的自适应算法，(Salt and pepper for digital image processing adaptive noise filtering algorithm)

光学车间加工，很好很强大的一本书。里面有不少值得学习的东西。(Optical shop testing)

说明：  在matlab的gui中画出手写数字识别的gui(Draw the GUI of handwritten numeral recognition in the GUI of MATLAB)

图像处理的偏微分方程方法，包括曲线演化，图像分割，图像滤波，图像复原等的matlab源代码。(Partial differential equations of image processing methods, including curve evolution, image segmentation, image filtering, image restoration, etc. matlab source code.)

说明：  Donoho提出的小波阀值去噪的基本思想是将信号通过小波变换（采用Mallat算法）后，信号产生的小波系数含有信号的重要信息，将信号经小波分解后小波系数较大，噪声的小波系数较小，并且噪声的小波系数要小于信号的小波系数，通过选取一个合适的阀值，大于阀值的小波系数被认为是有信号产生的，应予以保留，小于阀值的则认为是噪声产生的，置为零从而达到去噪的目的。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。(The basic idea of wavelet threshold de-noising proposed by Donoho is that the wavelet coefficients generated by the signal after passing through the wavelet transform (Mallat algorithm) contain the important information of the signal. After the wavelet decomposition, the wavelet coefficients of the signal are larger, the wavelet coefficients of the noise are smaller, and the wavelet coefficients of the noise are smaller than the wavelet coefficients of the signal. By selecting a suitable threshold, the wavelet coefficients of the noise are larger than the valve The wavelet coefficients of values are considered to be generated by signals, which should be preserved. The ones less than the threshold are considered to be generated by noise, which is set to zero to achieve the purpose of denoising.)

该matlab源码描述了基于局部受限线性编码的图像分类算法(This is an example code for the algorithm described in "Locality-constrained Linear Coding for Image Classification", CVPR 2010. )

此算法是图像之间的转换，二值图，RGB等的相互转换源代码(This algorithm is the conversion between the images, the two value of the map, RGB, and so on the conversion of the source code)