waterline

根据RBM深度网络（Hinton，2006）进行MINST手写文字的分类器的训练，利用训练得到的权值制作了这个小程序，通过这个程序可以看出训练结果对数据集内的测试样本和训练样本都能进行很好的识别，但是对其他的手写字体识别就没有那么好了。(According to RBM depth network (Hinton, 2006) conducted MINST handwritten text classifier training, using the training to get the right value to produce this small program, this program can be seen through the results of the training data set and the training sample test samples are can be well identified, but on the other handwriting recognition is not so good.)

功能：应用Rudin-Osher-Fatemi模型进行图像去噪，在ROFtest.m 中输入图像，附带文档ROFscheme内容为此模型的数值分析过程，比较详细，适合初学者(Classic 􏰉 Rudin-Osher-Fatemi model denoising, the including documentation is the numerical analysis process of the model in detail, suitable for beginners)

分别采用RGB模型和HIS模型对图像imageLane.bmp进行锐化，并比较锐化的效果是否相同（两锐化后的图像相减）。(RGB model and HIS respectively model imageLane.bmp sharpening the image and to compare the effect of sharpening is the same ( sharpen the image after the subtraction).)

九点标定halcon 代码，纯halcon代码未转换成其他语言(Marking machine image recognition Halcon code)

这是一个matlab环境下的关于图像频谱分析的源代码，内附图像。(This is a Matlab environment on the image spectrum analysis of source code, containing images.)

本m文件实现的是正面人脸的提取，基于YCbCr空间肤色区域提取和形态学的处理(this document is the realization of the right face extraction, YCbCr color space based on regional extraction and processing of morphological)

2、掌握Lee滤波与Refined-Lee滤波滤波效果ENL/ESI分析的原理及方法； 3、分析比较Lee滤波与Refined-Lee滤波的滤波性能； 4、分析滤波窗口与滤波效果的关系。 (2, master the principles and methods of filtering and Refined-Lee Lee filter filtering effect ENL/ESI analysis 3. Comparative analysis filtering performance Refined-Lee Lee filter and filter 4, analysis filtering window and filtering effect relationship.)

可以非常有效地判断裂纹及其延展情况记号笔会uefnhnwefnv看文嵘胡江(cracksfs jefo jfowejfojslf vvojfowjfo klm waefwfea)

目标跟踪中常用到的阿尔法-贝塔滤波 有图有真相(Target Tracking commonly used to Alpha- Beta filtering map with the truth)

这些代码主要是IDL语言源码，主要功能：初始化ENVI,定标,大气校正,融合,镶嵌,裁剪,分类(监督+非监督),面向对象特征提取,结束ENVI(These codes are mainly IDL language source code, the main functions: initialization, ENVI, calibration, atmospheric correction, fusion, mosaic, cutting, classification (supervision + non supervision), object oriented feature extraction, ending ENVI)