some-examples

：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)

通过执行程序，可以实现对物体视差图的生成，进而可以实现深度图。(Through the implementation of the program, you can achieve the object disparity map, and then you can achieve depth map.)

image processing with opencv

esprit算法对有干扰的信号频率进行估计,一种基于多文档得图像合并技术，搭建OFDM通信系统的框架。( esprit algorithm signal frequency interference can be assessed Based on multi-document image obtained combining technique, Build a framework OFDM communication system.)

PAL制视频消隔行deinterlace的代码，共参考(PAL video system extinction deinterlace interlaced code, a total of reference)

Visual Tracking via Locality Sensitive Histograms.基于局部敏感直方图的目标跟踪算法，该算法在CVPR2013中出现，算法较简单但却非常有效，值得各位研究视觉跟踪算法的同行研究(Visual Tracking via Locality Sensitive Histograms)

说明：  该程序加载组织样本的图像，计算其强度直方图并绘制。(This program loads an image of a tissue sample, calculates its intensity histogram and draws it.)

目前最重要的图像变化检测评价标准：roc曲线，以及roc曲线下面积。(ROC curve of image change detection)

计算两个离散变量x和y的联合熵z = H（x，y）。 输入：x，y：两个相同长度的整数向量输出：z：联合熵 可以使用，有利于学习目的(Compute joint entropy z=H(x,y) of two discrete variables x and y. Input: of x, y: two integer vector of the same length Output: z: joint entropy good for learning purposes)

单相并网光伏逆变系统仿真，带最大功率点跟踪(PV system is connected to grid through single phase inverter)