-
Chapter-1
数字图像处理的基础知识学习 涵盖源代码，有助于提高编程(digital image processing )
- 2013-11-05 20:36:52下载
- 积分：1
-
MatlabImageRetrieval
说明： 用matlab编写的基于内容的图像检索源代码。(Matlab prepared with content-based image retrieval source code.)
- 2008-09-24 16:00:32下载
- 积分：1
-
ComputerGraphics
多边形填充 多边形裁剪 自定义多边形区域 自定义裁剪区域(Polygon fill polygon clipping custom polygon area custom crop area)
- 2012-11-14 23:04:40下载
- 积分：1
-
SITFbasedmatch
包括基于SIFTGPU的sift特征提取，sift匹配，基于ransac误匹配点剔除等(SIFTGPU based sift feature extraction, sift matching, mismatching points based ransac removed, etc.)
- 2021-04-09 22:38:59下载
- 积分：1
-
cvpr09-(matlab)
何凯明的基于暗原色先验的去雾代码，去雾效果很好(Kaiming dark colors based on a priori defogging code defogging good effect)
- 2016-02-13 15:14:54下载
- 积分：1
-
HESSIAN
黑塞矩阵（Hessian Matrix），又译作海森矩阵、海瑟矩阵、海塞矩阵等，是一个多元函数的二阶偏导数构成的方阵，描述了函数的局部曲率。黑塞矩阵最早于19世纪由德国数学家Ludwig Otto Hesse提出，并以其名字命名。黑塞矩阵常用于牛顿法解决优化问题，利用黑塞矩阵可判定多元函数的极值问题。在工程实际问题的优化设计中，所列的目标函数往往很复杂，为了使问题简化，常常将目标函数在某点邻域展开成泰勒多项式来逼近原函数，此时函数在某点泰勒展开式的矩阵形式中会涉及到黑塞矩阵。(Hessian Matrix, is a square matrix of the second order partial derivative of the multivariate function, which describes the local curvature of the function. The Hesse matrix was first proposed by the German mathematician Ludwig Otto Hesse in the 19th century and named after it. Hesse matrix is often used in Newton method to solve the optimization problem, using the black plug matrix to determine the extreme function of the extreme value problem.)
- 2017-09-12 13:58:39下载
- 积分：1
-
gentleBoost
当前流行的机器学习算法之一：boosting的变体——Gentleboost(The current popular one of machine learning algorithms: boosting variants- Gentleboost)
- 2021-04-14 14:58:55下载
- 积分：1
-
实现画矩形、椭圆和随手画功能
由VC实现画矩形、椭圆和随手画功能，对图像处理人员会有帮助(paintings by VC rectangular, oval and hand painting functions, image processing staff to be helpful)
- 2005-06-28 00:40:48下载
- 积分：1
-
各种低秩约束矩阵填充方法
说明： matlab的低秩矩阵填充代码，可直接使用(Matlab low rank matrix filling code, can be used directly)
- 2020-10-29 20:00:02下载
- 积分：1
-
图像拼接系统源代码
以图像拼接目标为应用背景，对图像处理配准和融合的基本原理及相关算法进行研究；利用matlab对相关配准和融合算法进行实现并优化;并将配准和融合算法应用于图像拼接中（给定某个真实场景的一组局部图像，然后对这一组图像进行拼接，最终形成一个图像拼接系统）。要求配准和融合能单独进行工作，形成独立的程序(The basic principles and algorithms of image registration and fusion are studied with the image stitching target as the application background. MATLAB is used to implement and optimize the related registration and fusion algorithms, and the registration and fusion algorithms are applied to the image mosaics (given a set of local images of a real scene, and then to this group) The image is stitching to form an image mosaic system. Registration and fusion are required to work independently and form separate programs.)
- 2018-07-06 13:23:13下载
- 积分：1
