资源列表
Face-location
- 基于图像的人脸定位已经广泛用于实际生活中，代码包含了人脸定位实例，效果不错-Image-based face location has been widely used in real life, the code contains examples of face positioning, good results
code
- 针对“沙子.bmp”图像，编程完成分割并进行形状分析，统计接近方形和椭圆形的沙子数量-Programming complete segmentation and shape analysis, statistical number of sand close to square and oval
ZoomImgDemo
- 本例是一个将图像伸缩显示的案例，在windows环境下实现操作-This example is a scalable image of the case, in the windows environment to achieve operation
Low-pass-filter
- 借助频域处理技术编程去掉图像中的条纹,中值滤波-By means of frequency domain processing programming to remove stripe in the image
image
- 介绍图像的基本处理步骤代码，如读取图像，灰度化，直方图均衡化，中值平滑，二值化。-Introduce the basic image processing steps code, such as reading images, grayscale, histogram equalization, median smoothing, two values.
[1998]-Bilateral-Filtering
- 经典的英语介绍双边滤波器,可下载的仔细研究,很多网上的介绍-Classic English article introduces bilateral filter, downloadable careful study, the introduction of a lot of online
ccmath-2.2.1.tar
- CCMATH 是数据计算库, 源码C, 包含几何学，曲线拟合，及其它-CCMATH is a mathematics library, coded in C, that contains functions for linear algebra, numerical integration, geometry and trigonometry, curve fitting, roots and optimization, Fourier analysis, simulation generati
fvision2010_0.1.1
- 基于OpenCV构建的图像处理和3D视觉库。-fvision is an image processing and 3D vision library built upon OpenCV 1.0.
GtkRadiant
- GtkRadiant is the official level design toolchain for games powered by id Tech engines id Software, and is maintained by a community of volunteers. GtkRadiant is powered by the GTK+ Project and released under a GPL license.-GtkRadiant is the official
HeeksCAD0.14.0
- HeekCAD是一个免费，开源CAD应用程序，作者是Dan Heeks，danheeks@gmail.com 功能介绍：可以导入STEP和IGES文件。绘制基本几何构件（直线和圆弧），新建基本实体，通过拉伸草图或者放样操作构造实体。使用倒角或者布尔操作对实体进行修改。可以保存为IGES，STEP或者STL格式。可以打印二维轮廓图。导出导入dxf文件（当前仅支持直线和圆弧）。
Corner-extraction
- 用于matlab图像处理中的图像角点提取，实现目标物定位-Matlab image processing for image corner extraction to achieve target positioning
CNN
- 手写数字识别 lenet 5 CNN的代码，对于初学机器学习者非常有帮助,可以运行。-Handwritten numeral recognition lenet 5 CNN code, for beginners machine learners very helpful, you can run.