harris-match

是一个颜色空间转换的MATLAB程序，一共有两个程序一个从RGB到YCRCB，一个是从YCRCB到RGB的程序。(Is a color space conversion of the MATLAB program, a total of two procedures from RGB to YCRCB, one is from YCrCb to RGB procedures.)

Harris角点检测程序（内附示例图像），利用鼠标在图像上选择提取交点的区域，进行角点提取。程序语言简洁，利于初学者学习。(Harris corner detection procedures (with sample images), using the mouse in the image on the choice of extraction point of intersection of the region, for Corner Detection. Programming language is simple and conducive to learning for beginners.)

说明：  基于小波变换的数字水印，包含的嵌入与提取代码，原理等(Digital watermarking based on wavelet transform, including embedded and extracted code, principle, etc)

KSVD图像去噪,组稀疏编码，新的去噪思路(KSVD image denoise，group spare coding)

医学图像分割水平及方法理论书籍《Level Set Methods and Dynamic Implicit Surfaces》代码(Medical image segmentation level of theory and methodology of the book )

一些阈值图像分割算法：迭代法；局部阈值；otsu；最大熵法等 (Some threshold image segmentation algorithm: the iterative method local threshold otsu maximum entropy method)

：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)

数字图像抠图源代码,是由一个外国人写的，非常好用，我希望能和大家一起分享(digital image matting matlab code written by a foreigner,it is very useful and I would like to share with everyone)

立体图像左右视点融合，将左右图像利用LogGabor融合成一幅图像。(Stereo image fusion, the left and right image are fused into an image using LogGabor.)

说明：  最大熵双阈值分割算法，基于遗传算法优化的快速最大熵双阈值分割算法。(Maximum Entropy Double Threshold Segmentation and Fast Maximum Entropy Double Threshold Segmentation Based on Genetic Algorithms.)