mohukongzhiraodong

：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)

这是一个常用的基于Fcm的图像分割源程序，希望对大家有用(This is a commonly used image segmentation based on FCm source, in the hope that useful to everybody)

三维labeling_GM_PHD程序,三维labeling_GM_PHD程序(The dimensional labeling_GM_PHD procedures,matlab programme!The dimensional labeling_GM_PHD procedures,matlab programme!)

感兴趣区域提取，能用于车牌号及台风等图像，效果不错(Extract the interesting area, it can be used in license plate number and typhoons images and so on, has good results )

数字图像处理中sobel算子的手写代码；canny手写代码；加噪声并滤波的调用库函数代码(Digital image using sobel & canny)

CCD 摄像机内外部参数快速准确的标定方法(Fast and accurate calibration method for internal and external parameters of CCD camera)

本代码用于进行红外、可见光的图像融合。采用LP、RP、DWT、DTCW、TVT、NSCT、LP-SR、RP-SR DWT-SR、DTCWT-SR、CVT-SR、NSCT-SR的具体实现。(The code used for the infrared, visible light image fusion. Using LP, RP, DWT, DTCW, TVT, NSCT, LP-SR, RP-SR DWT-SR, DTCWT-SR, CVT-SR, NSCT-SR concrete realization.)

三个很好的程序，有染色体的识别，车牌跟踪，还有神经网络设计，肯定是非常好的，希望大家从中学习(Three very good procedures, there are chromosome recognition, license plate tracking, as well as neural network design, is certainly very good, I hope you learn from)

说明：  适合初学者使用，简单的直接调用该函数即可。(Suitable for beginners to use, simply call the function directly.)

基于spline的图像感兴趣区域提取，可用于基于区域的图像检索系统中。(spline- based region of interest image extraction, can be used for regional image retrieval system.)