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类似于photoshop软件处理，功能复杂简单耐用，适合于初学者学习参考(Similar to the photoshop software processing, functional complexity of simple and durable, suitable for beginners to learn information)

HOG（方向梯度直方图）图像特征提取，以lena图像作为示例(HOG (Histogram of Oriented Gradients) image feature extraction, image as an example to lena)

说明：  图像分块的处理和matlab水印的提取，(Image sub-block processing and matlab watermark extraction,)

：植物种类识别方法主要是根据叶片低维特征进行自动化鉴定。然而，低维特征不能全面描述叶片信息，识别准确率低，本文提 出一种基于多特征降维的植物叶片识别方法。首先通过数字图像处理技术对植物叶片彩色样本图像进行预处理，获得去除颜色、虫洞、 叶柄和背景的叶片二值图像、灰度图像和纹理图像。然后对二值图像提取几何特征和结构特征，对灰度图像提取 Hu不变矩特征、灰 度共生矩阵特征、局部二值模式特征和 Gabor 特征，对纹理图像提取分形维数，共得到 2183 维特征参数。再采用主成分分析与线性 评判分析相结合的方法对叶片多特征进行特征降维，将叶片高维特征数据降到低维空间。使用降维后的训练样本特征数据对支持向量 机分类器进行训练(plant species identification method is mainly based on blade automatic identification of low dimensional characteristics.However, can not fully describe blade low-dimensional feature information, identification accuracy is low, in this paper A kind of plant leaves recognition method based on multiple feature dimension reduction.First by digital image processing technology to the plant leaf color sample image preprocessing, obtain background color removal, wormhole, petioles, and the blades of a binary image, gray image and texture image.Then the binary image to extract the geometric characteristics and characteristics of structure and characteristics of gray image extraction Hu moment invariants, gray co-occurrence matrix feature, local binary pattern features and Gabor, to extract the fractal dimension of texture image, get 2183 d characteristic parameters.By principal component analysis and linear uation analysis method of combining the characteristics of blade more feature dimensi)

说明：  立体匹配包含SAD SSD NCC 区域增长 census等多种常用立体匹配算法(Stereo matching includes SAD SSD NCC area growing census and other commonly used stereo matching algorithms)

基于IDL的HJ_1A 高光谱HSI图像条带噪声去除方案研究(Based the IDL' s HJ_1A hyperspectral HSI image strips with noise removal solutions for research)

基于surf算法的复制移动检测，此方法适合图像伪造研究者初级实验(Replication mobile detection based on surf algorithm)

超分辨率复原（分块处理） 将样本库中的高分辨率图象和低分辨率图象分别做分块处理，当新输入一幅低分辨率图象时，分成小块到样本库中寻找最匹配的高分辨率块，然后复原出高分辨率图象。(Superresolution recovery (block processing) for a sample of high-resolution images and low-resolution images respectively block , when the new importation of a low-resolution image, divided into small samples to find the most matching high-resolution block, then recovery from high-resolution images.)

自动种子区域生长代码，用MATLAB运行，不必选择种子点 可以自动选择阈值 实现图像分割！(The automatic seed region growing code, run, do not have to select seed point can automatically select the threshold image segmentation using MATLAB)

标准GS相位恢复算法，利用傅里叶变换与反变换进行逼近，直至收敛，误差下降算法。(Standard GS phase recovery algorithm, using Fourier transform and inverse transform approximation, until convergence, error reduction algorithm.)