edge

对数及坐标变换，傅里叶梅林变换参考代码，包含多个文件(Logarithmic and coordinate transformation)

说明：  双边滤波代码，双边滤波是一种非线性的方法,同时考虑到了图像的空域信息和灰度相似性,以达到保边去噪的目的.双边滤波通过空域矩阵和值域矩阵形成一个新的权重矩阵,其中空域矩阵用来模糊去噪；值域矩阵用来保护边缘.(Bilateral-Filtering code.Bilateral filtering is a nonlinear method, which takes into account the spatial information and gray similarity of the image to achieve the purpose of edge preserving denoising.The range matrix is used to protect edges.)

说明：  基于matlab的指纹识别源码 包括预处理、特征点提取和特征点匹配(Fingerprint recognition source code based on MATLAB includes preprocessing, feature extraction and feature matching)

说明：  均值方差与协方差 协方差矩阵、特征值与特征向量的提取、PCA原理 人脸识别算法之EigenFace、LBPH 人脸识别应用开发案例(Mean Variance and Covariance Covariance Matrix, Extraction of Eigenvalues and Eigenvectors, PCA Principle EigenFace and LBPH of Face Recognition Algorithms Case Study of Face Recognition Application Development)

说明：   图像编码源代码，包括：PCX， GIF，LZW算法和GIF数据压缩，JPEG，TGA，TIFF等(Image coding the source code, including: PCX, GIF, LZW and GIF data compression algorithm, JPEG, TGA, TIFF, etc.)

说明：  边缘检测算法 速度快 你一定会满意的。以前是要收费的。现在免费给你们。 源码经过测试真确无误。 (edge detection algorithm faster you will surely satisfied. Prior to the charges. Now free to you. Source tested truthful.)

凑算式 看这个算式： ☆☆☆ + ☆☆☆ = ☆☆☆ 如果每个五角星代表 1 ~ 9 的不同的数字。 这个算式有多少种可能的正确填写方法？ (Minato formula Look at this formula: ☆☆☆+ ☆☆☆ = ☆☆☆ If each five-pointed star represents a different number 1 to 9. This formula has a number of possible methods correctly filled?)

本书可作为信息处理、计算机、机器人、人工智能、遥感图像处理、认知神经科学等有关专业的高年级学生或研究生的教学用书，也可供相关领域的研究工作者参考。(This book can be used as information processing, computer, robot, remote sensing image processing, artificial intelligence, cognitive neuroscience and related professional senior student or graduate student s teaching resources, also can be used for reference in the related areas of research workers.)

图像的自动多阈值分割，可以进行灰度图像的自动分割。(Automatic multi-image threshold segmentation, gray-scale images can be automatically split.)

说明：  DensePose用深度学习把2D图像坐标映射到3D人体表面上，再加上以每秒多帧的速度处理密集坐标，最后实现动态人物的精确定位和姿态估计。该技术集目标检测、姿态估计、目标部分/实例分割等多种计算机视觉任务于一身的一个综合问题。(DensePost maps 2D image coordinates to 3D human body surface by in-depth learning, and processes dense coordinates at the speed of multiple frames per second. Finally, it realizes precise positioning and attitude estimation of dynamic characters. This technology integrates many kinds of computer vision tasks, such as target detection, attitude estimation, target part/instance segmentation, etc.)