Grid

圆形图表的处理，包括大圆套小圆，双指针，针对设计仪表的初学者很有帮助(Treatment of circular charts, including the great circle sets of small round, double pointer, very helpful for beginners instrument design)

sar图像的基于R-D模型的几何纠正，主要是利用RD模型的数学公式进行相关的几何纠正(Geometric rectification based on RD model of SAR)

雷达成像Dechirp 脉冲压缩代码 ，感兴趣的可以看看。(Radar the imaging Dechirp pulse compression code, and can see the interest.)

说明：  对图像畸变进行校正,对有些图像由于近小远大照成的畸变进行校正，采用了opencv(To correct image distortion , It s important to the machine vision)

对图像进行旋转和缩放的源代码,支持原图像的抽样处理及任意角度的旋转(The image rotation and scaling in any direction)

先进行图像的预处理，采用中值滤波，梯度增强。基于边缘帧差法实现前景检测(first image preproceing，the median filtering，grdient enhancement。based on edge detection method of frame to realiase prospect)

：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)

数字图像处理第二版英文版（冈萨雷斯）.pdf(Digital Image Processing Second Edition English (Gonzalez). Pdf)

用来进行多目标跟踪的JPDA算法的的MATLAB程序包. 跟踪效果还行. (Used for multi-target tracking JPDA algorithm of the MATLAB package tracking performance is okay.)

说明：  实现pca主成分分析算法的c语言代码，希望能帮到大家。(Pca principal component analysis algorithm to achieve the c language code, hope to help you.)