影像分析與應用
Image Analysis and Applications
| 節 | 週二 |
|---|---|
2 09:00–09:50 | 影像分析與應用 EE527 3 節連堂 |
3 10:10–11:00 | |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
This course aims to introduce the fundamental principles, techniques, and applications of image processing and analysis, as well as how to apply image processing techniques in various domains, particularly in engineering applications. Students will learn fundamental image processing techniques and explore real-world applications. While AI tools can generate code, this course provides the domain expertise required to validate, debug, and optimize those outputs. Students will learn to act as the 'architect' rather than just the 'coder,' ensuring that image analysis solutions are robust, explainable, and physically sound for engineering applications. 本課程旨在介紹影像處理和分析的基本原理、技術和應用，以及如何在不同領域中應用影像處理技術，尤其將著重於工程上的應用。學生將學習影像處理和分析，並應用於真實工程問題上。
Basic Programming Skills (e.g. python or Matlab)
Grading policy 30% Quizzes and Homework 20% Midterm Exam 20% Final Exam 30% Project
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction to the course, syllabus overview, and course objectives. |
| 第 2 週 | Understanding images, digital image representation, and basic image processing techniques. |
| 第 3 週 | Image Filtering and Enhancement |
| 第 4 週 | Edge Detection and Image Segmentation |
| 第 5 週 | The Hough Transform |
| 第 6 週 | Introduction to Object Tracking |
| 第 7 週 | Blob Tracking Techniques |
| 第 8 週 | Midterm Exam |
| 第 9 週 | Advanced Blob Tracking and Analysis |
| 第 10 週 | Introduction to Convolutional Neural Networks (CNNs) |
| 第 11 週 | YOLO for Object Detection |
| 第 12 週 | Project Work |
| 第 13 週 | Project Work |
| 第 14 週 | Final Exam |
| 第 15 週 | Final Presentation |
| 第 16 週 | Final Presentation |
Digital Image Processing Using MATLAB by Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins
- 地點
- EE423
- 時間
- by appointment
- 聯絡方式
- dylantsai@nycu.edu.tw 55118