Tensor-Voting

matlab程序求相关系数数字图像相关法是对全场位移和应变进行分析的一种新的实验力学方法 (matlab program seeking correlation coefficient Digital image cross-correlationmethod (DIC) is a newmethod ofexperimentalmechanics for the analysis ofwhole field displacement and strain. Image processing is one of the cores ofDIC. )

一种用于用于进行图像隐写分析的算法的源代码，主要是基于最低有效位检测这一方面研究的(Used for the image of a steganalysis algorithm source code, mainly detection based on the least significant bit of research in this)

一个非常非常非常有效的机遇色温的白平衡处理matlab程序(White balance processing)

视觉注意力模型，寻找感兴趣区域，模仿人眼找出最感兴趣的区域，再找出第二感兴趣的区域，以此类推(Visual attention model to find the region of interest, to imitate the human eye to identify the most interesting region, and then find the second region of interest, and so on)

为数字图像水印提供多种攻击方式，其中包括JPEG压缩、高斯低通滤波等多达十种攻击方式。(Offers a variety of attacks of digital watermarking ,including the jpeg compression, Gaussian low-pass filtering, up to ten different attacks)

说明：  基于retinex理论的图象增强处理，一种新型的算法，效果挺好(Image enhancement based on Retinex theory, a new algorithm, has a good effect)

自写M函数，做灰度图像的灰度级数及灰度范围的自定义设置。例如：将[0 255]的uint8图像变换成8级灰度的灰度范围为[0 7]图像或者[11.5 25.8]图像。 输出图像为double类，用户可将图像归一化后自行转换为所需类型。(This is a M function written by self, it can be used to rebuild a image with a given number of gray-level and a given gray-scale. Output image is double class.)

这个函数分配一个数据缓冲区与多个颜色指定系统上的乐队。这种类型的缓冲区允许表示彩色图像(例如,RGB)。 这个函数为每个指定分配缓冲区,一个二维表面颜色乐队。您可以使用MbufAlloc1d()和MbufAlloc2d()来创建单独的乐队一或二维 数据缓冲区,分别。 分配一个缓冲区后,我们建议您检查是否操作成功,使用MappGetError(),或通过验证,不是M_NULL返回的缓冲区的标识符。(This function allocates a data buffer with multiple color bands on the specified system. This type of buffer allows for the representation of color images (for example, RGB). This function allocates buffers that have a two-dimensional surface for each specified color band. You can use MbufAlloc1d() and MbufAlloc2d() to create single band one- or two-dimensional data buffers, respectively. After allocating a buffer, we recommend that you check if the operation was successful, using MappGetError(), or by verifying that the buffer identifier returned is not M_NULL.)

实现人脸识别功能，GUI界面，其中有测试人脸集，识别率95以上(To achieve face recognition function, GUI interface)

说明：  slic超像素分割，可以实现图像的超像素分割(SLIC super pixel segmentation)