资源列表
Unit1
- 在OPENCV平台上进行开发，应用HAAR特征进行训练，对目标物体建立数据库，训练分类器，进行识别-In OPENCV platform development, application of HAAR features training, establish database, the training object classifier, and identified
Marksdetection
- 自己曾经做的一个项目，基于几何特征的模式识别。可以有效的识别等边三角形，矩形，六角形 和圆形。 基于c++和OpenCV 编写的程序。是学习OpenCV的好代码。 图像处理&模式识别。-Marksdetection for equilateral triangles,rectangle, regular hexagon, special orthogonal polygons and circles Based on C++ and OpenCV good source code f
image
- 遥感图像分割,包括七幅图像matlab实现-image segntme
clusterImg
- 彩色图像分割，灰常不错。This function implements kmeans clustering on an input RGB (m x n x 3) image. The user inputs at least two inputs: IMGIN and NCLUSTERS, and this function will step through an interactive color segmentation using kmeans clustering. It
zhongzi
- 采用种子区域生长（seeded region growing）算法对灰度图像和彩色图像进行分割-The seed region growing (seeded region growing) algorithm for gray image and color image segmentation
program
- 一种新的方法—多尺度单通道线性追踪法来分割视网膜血管-retina vessel segmentation
piv14
- 流体流速计算软件，通过对高速CCD采样的流体图像进行计算，得到流速分布图，用以研究流体力学-Fluid flow calculation software, through the high-speed CCD image sampling to calculate the fluid obtained velocity distribution, to study the fluid dynamics
Modern_IQA
- 本书为Zhou Wang著，系统阐述了图像质量评价的相关内容，包括FR\HR\NR评价理论。-This book is writtend by Zhou Wang.Mainly about IQA.Including algoethims of FR\HR\NR.
Opticist
- 数字图像相关系数法，采样VC实现2D DIC方法，可以运行实例-Digital image correlation coefficient method, the sampling method of VC to achieve 2D DIC, you can run an instance of
FOM
- 品质因数的源程序，一种边缘检测算法的评价指标。-Quality factor of the source, an edge detection algorithm evaluation.
LBF
- 这是“Implicit Active Contours Driven by Local Binary Fitting Energy”（简称LBF模型）的MATLAB源代码。LBF模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。-This is the "Implicit Active Contours Driven by Local Binary Fitting Energy" (referred to as the LBF mod
H.Minn_study
- 对OFDM经典算法H.Minn算法进行仿真，形成定时度量仿真图-H.M inn to OFDM classical algorithm simulation, formation algorithm simulation diagram. Timing metric