RGB

orl人脸库，40个人，每人10幅图像。(orl face database, 40 individuals, 10 images per person.)

噪声环境下的信号检测算法及matlab算法，高斯环境下，门限检测(Signal detection algorithm in noisy environments and matlab algorithm, Gaussian environment, the threshold detector)

说明：  使用matlab搭建神经网络，从单目图像中估计深度值(Using matlab to build a neural network to estimate depth from monocular images)

为彩色的处理 为彩色的处理 (color processing for the treatment of Color Color Color handling of the treatment)

说明：  非常详细的一篇论文，仔细介绍了手指静脉识别的的全过程(A very detailed paper, carefully introduced the finger vein identification process)

kinect采集到的深度图像中的黑洞进行像素、平均像素滤波修复(Black holes in depth images captured by Kinect are repaired by filtering pixels and average pixels)

图像分割及二值化源码。该程序是交通标识识别的一部分。(Image segmentation and binary code. The traffic sign recognition program is part of.)

Matlab的GUI中选择图像的感兴趣区域ROI(正方形和矩形)(Matlab GUI to select the image region of interest ROI (square and rectangular))

基于图像的纹理特征参数的MVA的提取，该方法使用方便，理解简单。(Image-based texture feature extraction parameters of MVA, the method easy to use, easy to understand.)

说明：  ORL人脸图像库，共40人，每人10幅图像，其中每人的前5幅作为训练样本，后5幅作为测试分类样本，统计正确分类率。分类准则为最近邻规则。 真实的图像尺寸为112x92，列向量堆积对应人脸库矩阵的每一列。 (ORL face image database, a total of 40 per 10 images, each of which the first five as training samples, after the 5 categories as a test sample, correct classification rate statistics. Classification criteria for the nearest neighbor rule. The real image size is 112x92, the corresponding column vector face database matrix accumulation of each column.)