# Digital Image Processing

**Repository Path**: liu6tot/digital-image-processing

## Basic Information

- **Project Name**: Digital Image Processing
- **Description**: LNU  课程代号 0930243 数字图像处理
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-01-04
- **Last Updated**: 2022-01-06

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Digital Image Processing

## 介绍
LNU 课程代号 0930243 数字图像处理
## 教学大纲
1. [Matlab基础教程](./TutorialMatlab.md)
## 推荐教材
李俊山,李旭辉,朱子江.数字图像处理[M].北京:清华大学出版社,2006.
![Alt text](./data/dip_book.png?raw=true "dip logo")
## 有用的资源
1. [Computer Vision/ Image Processing/ Machine Vision Courses](https://homepages.inf.ed.ac.uk/rbf/IAPR/researchers/D2PAGES/d2courses.htm)
+ This page gives a summary of 60+ courses related to computer vision, image processing and machine vision from more than 60 universities worldwide.
2. [An Introduction to Digital Image Processing with Matlab](http://share.its.ac.id/pluginfile.php/371/mod_resource/content/1/An_Introduction_To_Digital_Image_Processing_With_Matlab.pdf)
+ Notes for SCM2511 Image Processing 1
3. [CSC 589, Spring 2015](http://fs2.american.edu/bxiao/www/CSC589/lectures.html)
+ Introduction to Computer Vision    CSC 589, Spring 2015
4. [CSC 2017 Fall](https://github.com/fruittree/CSC5892017Fall)
+ This repository contains the homework solutions and in-class demos used in CSC 589, Introduction to Computer Vision, taught at American University in DC, by Professor Bei Xiao. Problem sets, demo codes, and projects solutions written in Python.
5. [Introduction to Digital Image Processing
](https://github.com/MaorAssayag/Digital-Image-Processing#introduction-to-digital-image-processing)
+ B.Sc in Computer Engineering, Ben Gurion University, Israel.
6. [W21: Digital Imaging Processing with Python](https://qcb.ucla.edu/collaboratory/workshops/w21-digital-imaging-processing-in-p/#toggle-id-1-closed)
+ UCLA QCBio Collaboratory workshop 21: Digital Image Analysis with Python
+ The complete workshop materials are available [here](https://github.com/alonyan/DIP)