资源列表
ImageEnhance
- 空间域、频域图像增强,包括基本灰度变换,直方图处理,空间平滑、锐化处理,理想、巴特沃斯和高斯滤波器,快速傅立叶变换等-Space domain, frequency domain image enhancement, including basic gray transform, histogram processing, spatial smoothing, sharpening, ideals, Butterworth and Gaussian filters, fast Fourier t
license-recognition
- 车牌辨识程序,用于辨识黄蓝车牌的车牌号,提取并显示-License plate recognition program, used to identify the yellow blue license plate license plate number, extract and display
raytrace
- 图形学大作业,通过实现光线追踪算法实现了反射折射纹理软阴影等,代码可扩展-Graphics great job, ray tracing algorithm by implementing a reflection refraction texture soft shadows, the code can be extended
MeshSimply
- 图形学大作业,通过网格简化实现了对obj模型的简化,并通过OpenGL实现了对简化后的面片的显示-Graphics great work, through the realization of the obj mesh simplification model simplification, and through OpenGL realize the simplified display facets
Bayesian-Modeling-of-Dynamic-Scenes
- 一种针对动态场景环境下的目标检测的贝叶斯模型-Bayesian Modeling of Dynamic Scenes for Object Detection
foldplugin
- PS插件的开发,主要将图像的球面黑色区域转换并提取出来-PS plug of the development, the black areas of the image to the spherical conversion and extracted
VTK_sampledemo_cloudPointTo3D
- 琢磨出了如何通过已有的内存三维体数据场进行三维重建的vtk实现。 -Utah Travel Guide: 5361 real travel reviews, tips, and photos from real travelers and locals in Utah at VirtualTourist.vtkstudy
opencv_imagechangetest
- opencv金字塔分解,灰度化和canny检测测试程序,vc6.0与opencv1.0联合调试-opencv pyramid decomposition, graying and canny detector test procedures, vc6.0 joint commissioning with opencv1.0
GSO-matlab
- 萤火虫算法 GSO算法用matlab编程实现-Firefly algorithm GSO algorithm using matlab programming
KazeOpenCVP-PSamplePProjectP-PVS2010
- 图像 处理opencv图像图像 处理opencv图像图像 处理opencv图像图像处理opencv-opencviamgestitch opencviamgestitch opencviamgestitchopencviamgestitchopencviamgestitchopencviamgestitchopencviamgestitch
Classic-difference-algorithm
- 基于OPENCV的经典的差分算法,有快速,准确的特点-Classic difference algorithm based on OPENCV, fast, accurate features
libexif-0.6.21-win
- libexif-0.6.21 是可用于添加或删除exif中tag,并且有相应的例子 源码是在Linux下的,但作相应修改后,可以在VS下使用-libexif-0.6.21 is used to add or remove exif in the tag, and a corresponding example source is under Linux, but be amended accordingly, you can use the VS
