color-extract

极坐标和平面坐标的转换，在图像处理中可以很好解决在一个坐标下不能解决的问题。(Polar coordinates and plane coordinates conversion, in image processing can be solved in a coordinate system can not solve the problem.)

：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)

OPENCV图像处理模板，有界面编程的，以后运用opencv直接在里面填写代码就可以了(OPENCV image processing template, with interface programming, and after using opencv code directly on the inside can be a complete)

用帧差法找出运动物体，并用形态学滤波恢复物体(Identify moving objects in frame difference method and morphological filtering restore objects)

恒虚警算法matlab程序，处理SAR图像的有用算法(CFAR algorithm procedures to deal with useful algorithms for SAR image)

8邻域边缘连接，实现闭合边界跟踪，简单实用(8 neighborhood edge connector, to achieve closure boundary tracking, simple and practical)

meanshift用于目标跟踪，用于视频序列检测目标，手动选择目标(meanshift target tracking)

说明：  实现超级像素的图像分割程序源代码，代码很全面(The realization of super-pixel image segmentation source code, code is very comprehensive)

LabWindows /CVI 大学实验指导书，难度循序渐进，一套下来，基本操作都会了。推荐一下(LabWindows/CVI University experiment instructions, the difficulty of step-by-step, set down, the basic operation will be. You recommend)

此算法为基于k-means聚类的非局部均值快速去噪算法，方法便捷有效，可保持边缘信息(this is a fast edge-preserving denoising method based on non-local means method with k-means clustering)