experiment

对于vc++中经典的画线画图示例程序.对于类的控制和画线算法的实现.代码简洁明了(For vc++ in a classic example of procedures for drawing a line drawing. The type of control and painting line algorithm. Concise code)

matlab结合GPU的资料，初学者可以看看，很不错的解释,适合参考(matlab GPU combined data, beginners can see, very good explanation for the reference)

nsst域内基于区域能量和区域方差取最大值的图像融合算法，简单易懂。主程序高频区域能量取大，低频加权平均，读者可自行修改。(nsst maximum value within an image fusion algorithm based on regional energy and regional variance, easy to understand. Main high-frequency energy to take large area, low-weighted average, readers can modify.)

混合高斯前景提取。数学建模时编的，测试视频就在包内，可以作为学习交流用，环境2014a的matlab，后有添加形态处理都在注释里。一起学习。有matlab编的vibe程序欢迎交流(Hybrid Gauss foreground extraction. Mathematical modeling of the series, the test video is in the package, can be used as a learning exchange, the environment 2014a MATLAB)

聚束SAR极坐标格式算法，包括dechirp处理以及距离向插值和方位向插值(Spotlight SAR polar format algorithm, including dechirp processing and distance and azimuth to the interpolation Interpolation)

wincc脚本数据手册，最全的C脚本，介绍详细，官方资料(wincc cript data manual, the most complete C script)

说明：  图像滤波模型,可用于图像滤波，效果良好，模型特别简单。(The image filtering model can be used for image filtering. The effect is good, and the model is particularly simple.)

锐化图片 拉普拉斯算法 两种方法 一种是自己写的一种是用了matlab里面自带的函数(ruihua picture Laplace there are two mechof a fi [as fs aflasl;nvb)

说明：  是一种纹理描述算子用于快速提取图像的纹理特征,应用于医学图像检索,场景分类等.(Is a texture description operator for rapid extraction of texture features, used in medical image retrieval, scene classification.)

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.)