在图像分割中，利用Hough变换进行直线提取的matlab源程序。提取方法不同于一般的边缘检测算法。...

实现LLE算法，本算法是改进的LLE算法，主要是针对人脸图像的。

给定2个点坐标，计算其连线与水平方向的夹角，夹角范围[0,2*pi]-failed to translate

求两个多边形交集的程序，使用计算几何实现的，值得学习-intersection of polygons for the two procedures, the use of computational geometry to achieve, and worth learning

这是一个图象处理的源代码，将一个图像 灰度均衡化，使得原有图片更清晰 -this is a code of digital image processing,it can make a image grayscale eauilibrium.

摘　要:舌象中的裂纹是中医舌诊中的重要内容。由于拍摄条件的不同,舌象质量有较大差异,传统的阈值选取方法并不 适用。文中提出一种舌象裂纹检测的自适应阈值选择方法。该方法利用舌象的L 3 a 3 b 色彩特征及区域的分裂- 合并, 对舌象进行区域分割,自适应地选取舌中部区域的色彩值作为阈值,对整个舌象进行裂纹提取。经验证,本方案对不同的 舌象能较好地提取出裂纹,实现舌象裂纹诊断的客观化。-Tongue’ s crack is a very important part of herbalist doctor diagnosis. For the different screen conditions , there are many differ2 ences on the tongue’ s quality. It is not effective to use the t raditional threshold ext raction algorithm. In order to solve this problem , pro2 pose a new adaptive threshold algorithm. Present the segmentation of the image of tongue by using the feature on tongue in the L 3 a 3 b color space and the split- combining algorithm. Then use the threshold , which is the color value ext racted automatically in the middle of the tongue , to detect the crack of the whole tongue. The experiments show that this approach is able to distill the crack effectively to different tongue images , and achieve the objectivity of the diagnosis based on the tongue’ s c

盲嵌入和线性相关检测，数字水印，例子只嵌入1比特信息来说明-Blind embedding and linear correlation detection, digital watermarking, for example, embedding only one bit of information to illustrate

一个比较好的图像处理源程序，可以对图像进行多种样式处理。-a relatively good source image processing, image processing for a variety of styles.

该函数实现了数字图像处理中的双三次线性插值函数-the function implement the bicubic interpolation in digital processing

用改进的GAC变分水平集方法实现图像分割，简化和避免了重新初始化问题-GAC improved variational level set method to achieve image segmentation, simplification and to avoid the issue of re-initialization

数字图像处理中常用的灰度平衡算法，VC编写，包含完整源代码与实例图片，很实用-Commonly used in digital image processing of gray-balancing algorithm, VC preparation that contains complete source code and examples of pictures, very useful