qulv

这是一个从两个以知的参考视点的彩色图和深度图来合成一个虚拟视点的彩色图和深度图的程序。(This is one of the two known reference to the viewpoint of the color and depth charts to synthesize a virtual viewpoint of color and depth charts of the program.)

利用傅立叶变换的图像同态滤波，解决光照不均的问题(Use of Fourier transform images homomorphic filtering to solve the problem of uneven illumination)

：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)

BBO I类匹配角计算 通过修改相应的参数可以计算其他负单轴晶体的I类匹配角(BBO Class I match angle calculated by modifying the parameters can be calculated other negative uniaxial crystals Class I match angle)

正余弦+NLM滤波器和正余弦与其他滤波器的视觉效果与数值信息比较(Sine and Cosine+NLM cosine filter and compare numeric information with visual effects and other filters)

C#实现给照片批量添加水印功能 实例源码，可添加文字水印和图片水印等，其中还有透明度以及水印字体设置等功能

PIVlab - 时间分辨粒子图像测速（PIV）工具： 一种基于GUI的工具，用于预处理，分析，验证，后处理，可视化和模拟PIV数据。 使用MATLAB网络研讨会进行人脸识别代码： 使用MATLAB在线讲座的人脸识别中的主要演示文件。 Gabor特征提取： 该程序生成一个自定义Gabor滤波器组; 并使用它们提取图像特征。 主成分分析： 用于特征提取； 链码： 基于MATLAB的freeman的曲面轮廓描述(PIVlab - time resolved particle image velocimetry (PIV) tool: A GUI based tool for preprocessing, analysis, validation, post processing, visualization, and Simulation of PIV data. Using MATLAB webinar for face recognition code: The main demo file is used in MATLAB online lectures for face recognition. Gabor feature extraction: The program generates a custom Gabor filter bank and uses them to extract image features. Principal component analysis: For feature extraction; Chain code: Surface contour description of Freeman based on MATLAB)

基于AdaBoost的人脸检测程序代码(是用c++编写的)(AdaBoost-based face detection program code (written with c++))

说明：  立体图像质量评价方向优秀论文的实现代码，仅供参考。(Stereo image quality evaluation direction of the excellent paper implementation code, for reference only.)

采用canny算子加上lee滤波器对SAR图像进行去噪(canny algorithm and lee filter to aiti-noise SAR image)