Voronoi

说明：  用于三维空间坐标系变换的7参数模型，在设计坐标系变换的各行业应用中用的最多，从数学角度来说也是最严密的转换方法。 由于结果中最多可求得七个转换参数，即三个平移参数、三个旋转参数(Ex、Ey、Ez)和一个尺度缩放因子(m)，因此，通常也被称为七参数法。 (Three-dimensional coordinate system transformation for the 7 parameter model, coordinate system transformation in the design of applications using the most, the industry, from the mathematical point of view, the conversion is the most rigorous methods. Since the results can be obtained up to seven transformation parameters, ie three translation parameters, three rotation parameters (Ex, Ey, Ez) and a zoom scale factor (m), therefore, often referred to as seven-parameter method.)

图像处理方面，用VC++实现的连通区域标记的程序。(Image processing, with VC++ implementation of the procedures connected region markers.)

VC development motion control routines, vb development 12 axis motion control routines

水印攻击测试程序optimark。 这个比stirmark更全面测试水印程序，很好用(Watermark attack test program optimark. This more comprehensive test than stirmark watermark program, very good use)

在GPU-CUDA平台上进行SIFT特征提取，加快提取速度(On GPU-CUDA platform SIFT feature extraction, speeding up the extraction rate)

这是我研究生期间，用QM Coder做图像和图片压缩的源代码。希望能帮助大家(This is the QM Coder for video/image compression. Hopefully, it will be useful for you. )

对图像进行镜像处理，是最基本的图像处理操作(Mirror image is the most basic image processing operations )

说明：  基于VC++的图像的DFT变换和DCT变换，并可实现两者间的对比转换(VC++ based on the image of the DFT transform and DCT transform, and to achieve the contrast between the two conversion)

这是一个扫描线种子填充算法的程序，这个程序的演示效果不错(This is a scan line seed fill algorithm program, this program demonstrates good results)

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 crack.)