Image Processing and Machine Vision
(2021,Spring)
Introduction 丨Schedule 丨Extended
Notice: Welcome to the course of Image Processing and Machine Vision in the spring of 2021
Lecture by: Tao Chen
Office: C5029, Interdisciplinary Building Two, Jiangwan Campus, Fudan University
Tel: 021-65643036
Mail: eetchen@fudan.edu.cn
Teaching Assistant: Qi Fu，20210720095@fudan.edu.cn
Information: 4 credits/64 class hours，1-16 weeks
Classroom：H2210
- Monday 3–4（9:55–11:35）
- Thursday 6–7 (13:30–15:10)
Teaching objectives:
This course is to make the students understand the fundamentals of image processing and machine vision, and train them how to solve real-world problem using image processing tehniques. Further, students are expected to be able to implement basic image processing modules, including image transform, compression and feature extraction, etc. In the learning process, students will develop interests in image and vision research field, and be prepared for pursuing a higher degree.
Courswork：
•Attendence(10%)
•Assignments(30%)
•Quiz(Open-Book)(60%)
Notes：
1.Attendance and class performance: Students are assessed based on whether they are late for class, leave early, absent without reason, whether they prepare for class carefully, and whether they make loud noises in class. Students who are absent without reason for three times or who violate class rules will get 0 points.
2.Presentation of course assignments：
The assessment is mainly based on the students’ completion of major assignments and course reports. Specifically, the comprehensive assessment can be made according to the following situations:
The completion of the assignments；
Overall performance of course presentations；
Writing of course report .
3.NO COPY
Prerequisites：
• Basic knowledge of Digital Signal Processing
• C/Python/Matlab Basic Programming Skills
Reference books：
1.Gonzales,Woods,Digital image processing(The fourth edition),Electronic Industry Press,2020.
2. Carsten Steger,Machine Vision Algorithms and Applications,Tsinghua University Press,2019.
