资源列表
bluespec-h264_latest.tar
- 基于xilinx FPGA的H.264视频标准的视频解码编程。-realtime H.264/AVC baseline decoder by xilinx fpga
FANFBP_ED_v2
- 等距扇形束CT重建的经典FBP算法，参考《医学成像系统》完成。-Isometric fan-beam CT reconstruction of the classic FBP algorithm, refer to " medical imaging system" to complete.
Remote-Sensing-Image-TargeDetection
- 高分辨率遥感影像的目标检测技术研究，写的很不错的博士论文，值得参考学习。-Target detection technology for high-resolution remote sensing images, very good doctoral thesis, it is also useful to learn.
lsb-and-dct-markedarecover-code
- 两种方法的水印嵌入和提取，lsb和dct，代码易懂，有部分注释-lsb and dct marked&recover code
Ex_Image
- 图像锐化平滑及读入各种格式的图片 适用于图像处理的初学者-Image sharpen and smooth
pt-ubiid-v.02
- pt-ubiid-v.02.zip : repository contains source code of Iris recognition system, to run it, you need Bath database Images(payable)-pt-ubiid-v.02.zip : repository contains source code of Iris recognition system, to run it, you need Bath database Images
densecrf-master
- 应用条件随机场进行图像分割 使用方法：将pydensecrf-py27或pydensecrf-py35重命名为pydensecrf，放入C:\Program Files\Anaconda3\Lib\site-packages 运行：python inference.py im1.png anno1.png out.png(Renameing the file "pydensecrf-py27" or "pydensecrf-py35" to the
zd
- 自相关算法,用于图像处理方面，可以用来处理模糊的图像(Autocorrelation algorithm, for image processing, can be used to deal with blurred images.)
Hexsight(shijuelong)
- Hexsight视觉龙培训资料，讲述了在VC6.0下Hexsight的配置，配有详细的例子程序，还有Hexsight的编程指南。-Hexsight-visual training materials, discusses under VC6.0 Hexsight configuration, with a detailed example of the procedure, as well as Hexsight programming guide.
Dehaze
- 一个单通道去雾算法,C++实现下效果显著,值得推荐下载-A single channel to fog algorithms, under C++ achieve a significant effect, it is recommended to download
shadow_detective
- 这是CVPR2011论文“Single-Image Shadow Detection and Removal using Paired Regions”最新的代码，可以直接在Windows环境下直接运行，阴影检测效果很好。-This code is the latest version for the paper, Single-Image Shadow Detection and Removal using Paired Regions ,in CVPR2011.It can directl
MATLAB6_image_processing
- 详细介绍了如何使用matalb提供的图像处理工具箱函数，最后一大量的应用实例，说明了用matlab树立数字图像的方法-Detailed information on how to use the provided matalb image processing toolbox function, and finally a large number of application examples to illustrate the use of matlab to establish the m