nmfsc

一个会动得圆，让学习的人更好的了解C++知识，是最基本的知识，学习工程的基本入门。(Will get round a move, so who better to learn about C++ knowledge, is the most basic knowledge, basic engineering study entry.)

说明：  自己编写的图像质量评价函数，包括方差、平均梯度、模糊熵、信息熵(I have written the image quality evaluation function, including the variance, with an average gradient, fuzzy entropy, information entropy)

亚像素级cvFindCornerSubPix角点检测，可较为精确地对角点进行检测(The subpixel cvFindCornerSubPix corner detection)

实现对酒瓶子的边缘检测，背景差分，垂直和水平投影等，并可实现计数功能。(Achieve the bottles of edge detection, background difference, the vertical and horizontal projection, and to achieve counting.)

bresenham画直线，WIN32，计算机图形学基础类源代码(bresenham画直线)

BM3D去噪算法开源代码，不是MATLAB的保密脚本文件，可更改(BM3D,image denoising algorithm)

：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)

将原始影像分别对RGB三色彩进行 x与 y轴之 Sobel边缘处理(original RGB images were of three colors for x and y axis of his Sobel Edge)

Application of the Fourier-Mellin transform to translation-, rotationand scale-invariant plant leaf identification

说明：  实现简单的梯度算法，这是一个函数文件。调用函数的主程序文件以及实验用的lena图都一并上传了，使用简单，快捷。注：该程序可以直接处理彩色图像。(Implementation of simple gradient algorithm, this is a function file. The main program file of calling function and Lena diagram for experiment are uploaded together. It is easy and fast to use. Note: This program can process color image directly.)