资源列表
zernike
- 采用zernike方法进行图像处理,适用于图像匹配,图像重建-The image processing method using zernike for image matching, image reconstruction
Stab_Emu_Lossap
- 加载stab_emu.lisp在cad下,进行STAB或EMU的前处理-load this program in CAD before use stab or emu to work
Laboratorio_01
- Image processing basics
eye-src
- 基于JAVA的OCR软件,能较好的识别英文字母和数字,对于汉字的识别需要更多的字库文档支持。-JAVA based OCR software
hough
- hough变换检测圆,比较好的实现了hough检测的过程,利于学习-hough transform circle detection
20140506123
- 一个比较全面,并带有图像处理功能的车牌识别系统,使用神经网络来实现字符的识别!-A more comprehensive, and image processing functions with a license plate recognition system, the use of neural networks to realize the identification of characters!
3
- 利用小波变换实现图像压缩: 利用小波变换实现图像压缩,是利用小波分解图像的高频部分,只保留低频部分, 从图中可以看出,第一次压缩是提取图像中小波分解的第一层低频信息,此时压缩效果较好,第二次压缩是提取第二层的低频部分,其压缩效果远不如第一次压 -Using wavelet transform image compression: wavelet transform for image compression, is the use of high-frequency part
image-Restore
- 图像复原算法,运动模糊复原,逆滤波、维纳滤波复原,最大熵复原,几何变换复原等,c++源码-Image restoration algorithm, motion blur restoration, inverse filtering, Wiener filtering restoration, maximum entropy restoration, geometric transformation and restoration.c++ source code
2
- 利用余弦变换实现图像压缩: DCT先将整体图像分成N×N像素块(一般N=8 ,即64个像素块), 再对N×N块像素逐一进行DCT变换。由于大多数图像高频分量较小, 相应于图像高频成分的失真不太敏感,可以用更粗的量化,在保证所要求的图质下, 舍弃某些次要信息。-Cosine transform image compression: DCT NN first image is divided into blocks of pixels as a whole (usually N =
1
- 针对散焦图像编写的复原程序,复原效果不错,会产生振铃效应!-For the preparation of defocused image restoration program recover good results, will produce ringing effects!
Untitled2
- 图像去噪程序,分为高斯噪声和椒盐噪声,分别用均值滤波、中值滤波、一次维纳滤波、二次维纳滤波复原,效果很好!-Denoising procedures, divided Gaussian noise and salt and pepper noise, respectively, with mean filter, median filter, a Wiener filter, secondary Wiener filter restoration, very good!
tbb_debug
- penCV的全称是:Open Source Computer Vision Library。OpenCV是一个基于(开源)发行的跨平台计算机视觉库,可以运行在Linux、Windows和Mac OS操作系统上。它轻量级而且高效——由一系列 C 函数和少量 C++ 类构成,同时提供了Python、Ruby、MATLAB等语言的接口,实现了图像处理和计算机视觉方面的很多通用算法。-penCV full name is: Open Source Computer Vision Library. Ope
