EdgeDetection

北航图像处理demo，目前集成了从色彩转换、彩色图像处理、灰度图像处理、二值图像处理、阈值分割、边缘检测、数学形态学方法、等多个组件(Northern image processing demo, now integrated from the color conversion, color image processing, gray-scale image processing, binary image processing, thresholding, edge detection, mathematical morphology, and many other components)

用Visual C++实现基于数学形态学的数字图像处理,包括二值图像的腐蚀,膨胀,开,闭,细化及中轴变换等运算.(Visual C++ using mathematical morphology-based digital image processing, including binary image erosion and dilation, opening, closing, thinning, and the central axis transform operations.)

显著图计算算法FT, SR, LC, HC, RC，以及saliency cut 的合集。(an windows msi for install saliency detection software, which includes the implementation for FT, SR, LC, our HC, RC and saliency cut method.)

实现人体跟踪的源代码，实现对视频中目标人物的跟踪(The human tracking source code, the video of the target person tracking)

实现一些图像的编辑功能，比如图像的打开，关闭，新建，删除，反转，等一些功能(Implement some image editing features, such as the image open, close, create, delete, reverse, and some other functions)

匹配算法，可以完美运行，对于初学者有着很好的参考价值(Matching algorithm, can be a perfect run, has a very good reference for beginners)

：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)

对图像（Bmp）的智能读入界面设计，源代码(Read image (BMP), intelligent interface design, source code)

基本图元绘制、计算机图形学上机实验报告、1，熟悉图形软件开发工具：VC++, OpenGL等； 2，设计、实现线段的DDA、Bresenham算法 3，设计、实现中点圆、中点椭圆生成算法； 4，设计、实现填充图元生成算法；(The basic primitive computer graphics, computer lab report 1, familiar with the graphics software development tools: vc++, OpenGL, etc. 2, design implementation DDA Bresenham algorithm of line 3, midpoint circle midpoint elliptical generation algorithm design implementation 4, primitive design to realize filling generation algorithm)

计算三维数据的法矢量并进行调整，里面包括了自己做的实验数据和结果(Three-dimensional data, vector calculation method and make adjustments, which includes the make their own experimental data and results)