资源列表
CCMD_OCR
- OCR图像文字识别源码，使用OCR图像识别控件，支持bmp,jpg,tif等多种图形格式的文字识别。(OCR image text recognition source code, use OCR image recognition control, support bmp, jpg, tif and other graphic format text recognition.)
遥感图像配准系统
- 本程序主要对遥感图像实现三种处理：几何校正、图像增强和图像配准。这三种处理都可以独立实现，然而对于原始的遥感图像将这三种处理依次进行效果更佳。(This program mainly deals with three kinds of remote sensing image processing: geometric correction, image enhancement and image registration. These three kinds of processing can
Image Noise Level Estimation by Principal Component Analysis
- 论文Matlab实现：S. Pyatykh, J. Hesser, and L. Zheng, "Image Noise Level Estimation by Principal Component Analysis", IEEE Transactions on Image Processing, Volume: 22, Issue: 2, Pages: 687 - 699, February 2013.
基本数字水印和DCT数字水印
- 掌握基本数字水印和DCT数字水印的实现和检测方法；检验DCT数字水印，抵抗高斯噪声攻击、椒盐噪声攻击、剪切攻击和旋转攻击的能力。(Grasp the implementation and detection methods of basic digital watermarking and DCT digital watermarking, and test the ability of DCT digital watermarking to resist Gauss noise attack,
warp
- Python语言实现全景图拼接，识别特征，ransac提取，后拼接全景图(Python language achieves panorama mosaic, recognition features, RANSAC extraction, and then mosaic panorama)
二维码扫描识别
- 基于opencv+zbar+visual studio的二维码扫描识别，文件里有写具体做法和具体代码(opencv ,zbar,visual studio)
5
- python实现双目立体匹配SGBM算法(SGBM algorithm for binocular stereo matching based on Python)
CS_Lenabmp
- BCS代码稀疏重构Lena.bmp图像，包中含有代码和图片本身，题主给了一定注释，便于CS初学者学习(BCS code sparsely reconstructs Lena. BMP image. The package contains code and image itself. The theme is given a certain comment, which is convenient for CS beginners to learn.)
石鑫华视觉网-中科院自动化所 计算机视觉课件
- labview基础视觉识别的东西，讲的很细(The basic visual recognition course of LabVIEW is very detailed.)
VMD_tu
- vmd分解之后分解信号和原信号的对比图、频谱图等(After VMD decomposition, the contrast and spectrum of the decomposed signal and the original signal, etc.)
生物特征识别技术手指静脉识别技术_余成波
- 结合图像处理MATLAB的基本原理和知识，详细介绍了手指静脉预处理，图像分割，静脉纹路分割，滤波去噪，细化等相关内容。(Combined with the basic principle and knowledge of image processing, this paper introduces the finger vein pretreatment, image segmentation, vein vein segmentation, filtering and denoising,
分布式tensorflow
- 1.使用distribute.py在分布式tensorflow中进行训练mnist模型 2.使用mnist_test.py进行测试模型，获取输出结果(1. Training MNIST model in distributed tensorflow using distribute.py 2. Use mnist_test.py to test the model and get the output results)