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IDL平台环境下，envi温度植被干旱指数计算TVDI(Calculation of envi temperature and Vegetation Drought Index under IDL platform TVDI)

数字音频水印程序，有嵌入和提取及攻击处理(Digital audio watermarking procedures, embedding and extracting and aggressive treatment.)

C# 鼠标拖拽图像 实例源码

图像边缘检测,运用各种算子,压缩包中保存了各种算子算法后的效果图(MATLAB Image corrosion expansion, not the kind of statement directly)

说明：  将已知的灰度图像逆时针旋转60度，矩阵运算，图像旋转(Rotate the known grayscale image 60 degrees counterclockwise, matrix operation, image rotation)

kalman是视频跟踪的几本算法，本算法就是一个kalman的很好的应用例子！(video tracking kalman several algorithms, this algorithm is an application of kalman good example!)

说明：  何凯明的暗通道去雾算法，Python版本代码(image defogging based on dark channel)

图形图象处理中的一个非常重要的特征的提取算法,zernike矩(Graphic image processing in a very important feature extraction algorithm, zernike Moment)

利用蝶形算法类似于FFT，利用先行再列实现二维DCT。速度很快。包含反DCT的代码。(similar to the use of butterfly FFT algorithm, the first re-use of 2D DCT out. Very fast. Contain anti- DCT code.)

：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)