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源码用于计算不同的重建图像方法得到图像的质量评估检测(Source used to calculate the different image reconstruction methods to assess the quality of the image detection)

说明：  基于matlab的简单手势识别代码，初学者可自行下载。(Simple gesture recognition code, beginners can download.)

关于图像处理的程序，他能实现对裂缝进行自动的提取(About image processing program, he can achieve the automatic extraction of cracks)

k-均值算法 做的图象分割实例 （将图片像素聚成三类）(k-means algorithm to do the image segmentation example (poly-pixel pictures into three categories))

上课的课程：数字图像处理，同Labwindows/CVI实现的多个小程序，分别有：多种函数曲线的生成、多种函数曲线的生成并显示极值、二值图像的边缘追踪、二值图像的形态学处理、根据直方图选择阈值、灰度变换、均值滤波、粒子图像分析、图像的边缘检测、正弦曲线生成、直方图均衡化、直方图显示、中值滤波、自动计算阈值。(Class courses: digital image processing, Labwindows/CVI realize with multiple small program, a variety of function curve respectively, the generation, multiple function curve and display the extremum, generated binary image edge tracing, binary image histogram morphology processing, according to the choice threshold, gray transformation, average filtering, particle image analysis, image edge detection, sine curve generation, histogram equalization, histogram display, median filtering, automatic computing threshold.)

深度学习相关代码实现，可以用来做去噪，去模糊，回归，识别等( Initialize and train an RBM energy-based model. Supports binary, Gaussian, and multinomial inputs (still in development). Supports binary and noisy rectified linear units (NReLU) in the hidden layer. Supports joint modeling of binary and multinomial variables for classification.)

说明：  此代码是由FCM算法改变的且用于图像分割，比FCM算法对图像的分割的效果更好(This code is changed by FCM algorithm and is used for image segmentation, which is better than FCM algorithm for image segmentation)

数据文件以图像的格式打开，针对labview采集的图像以数据txt格式保存的。(Image data file format open , labview image acquisition for the data saved in txt format . )

操作简单，实现双目视觉下的三维重建，输入双目下两张图片，生成渲染后的重建结果。(Simple, to achieve a three-dimensional reconstruction under binocular vision, binocular enter under two pictures, generated reconstructions rendered.)

对自适应双边滤波进行图像增强，使图像去噪效果更好(Adaptive bilateral filtering for image enhancement, image denoising effect is better)