计算机图形学中才用c++实现的多边形有效边表填充算法

Digital Image Processing教材配套 matlab源程序，可以同时参看这本教材，相信可以得到更好的学习效果-supporting Matlab source materials, can see this material, I believe it can be a better learning results

二维傅里叶变换、离散余弦变换和小波变换的Matlab实现.-Two-dimensional Fourier transform, discrete cosine transform and wavelet transform of the Matlab implementation.

Matlab toolbox for Hidden Markov Modelling using Max. likelihood EM. Prerequisites: Matlab 5.0, System Identification Toolbox, Netlab, Marbox. LAST UPDATED: 25 Feb. 2002.

Jpeg的encoder and decorder with C-Jpeg of the encoder and decorder with C

Algorithms for images processing-Algorithms for processing images

反色：通过对图像的处理使图像各种颜色变得和原始图像颜色相反-Anti-color: image processing of the image has become a variety of colors and the original image color contrast

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

特殊图象处理效果 对大家处理图象有帮助 希望大家用得得心应手-A special image processing effects on processing images help us hope that we are used handy

为Matrox Meteor-Ⅱ/ 图像采集卡MIL捕获图像程序-For the Matrox Meteor-⒑/frame grabbers MIL image capture process

使用C＃编写的采用卡尔曼滤波和bregeler算法的图象识别程序，在.net2005下运行，识别率高，自动特征库，有机器学习功能-The use of C# prepared using Kalman filtering and image recognition algorithm bregeler procedures. Net2005 running, identify a high rate of automatic features of the Treasury, has machine-learning function