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有关彩色图像分割与复杂场景下目标跟踪方法研究的一篇博士论文(On the color image segmentation and complexity of the scene target tracking methods under study for a Ph D thesis)

水印攻击测试程序optimark。 这个比stirmark更全面测试水印程序，很好用(Watermark attack test program optimark. This more comprehensive test than stirmark watermark program, very good use)

工具条图标产生器，可以产生各种工具条图标(Toolbar icon generator, can produce a variety of toolbar icons)

说明：  用canny算子来检测图像边缘，VC++(Using canny operator to detect image edge)

自己曾经做的一个项目，基于几何特征的模式识别。可以有效的识别等边三角形，矩形，六角形 和圆形。 基于c++和OpenCV 编写的程序。是学习OpenCV的好代码。 图像处理&模式识别。(Marksdetection for equilateral triangles,rectangle, regular hexagon, special orthogonal polygons and circles Based on C++ and OpenCV good source code for image processing and mark detection)

该文档的主要功能就是利用vc编写一段代码实现摄像头采集图像。(The main function of the document is vc write a piece of code to achieve the camera capture images.)

说明：  简单的数字图像处理程序，实现灰度化，二值化，边缘检测等(Simple digital image processing program, graying, binarization, edge detection, etc....)

This is simple calculator program. I m making a GUI calculator interface in MFC. this program works pretty well.

：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)

canny边缘检测，还有车道线检测。效果还可以。(canny edge detection, and lane detection. The effect can be.)