- 선생님: ☆ 余國瑞
- 선생님: ☆ 朱元三
- 선생님: ☆ 余松年
The content covered in this course primarily focuses on introducing the fundamental principles and techniques of image processing. You will learn the basics, including image sensing and representation, image enhancement, image restoration, morphology, and image compression. Additionally, you will also acquire knowledge of essential image processing techniques such as filtering, edge detection, and image segmentation. The objective of this course is to provide you with an understanding of the concepts and applications of image processing while enhancing your ability to handle and analyze images effectively.
Text book: A Computational Introduction to Digital Image Processing. Second edition, 2016.
Grading Policy:
Homework *3 (15%), Midterm exam (20%), Final exam (25%), Final Project (25%), Lab (15%), and Bonus (10%): Kaggle competition
- 선생님: ☆ 江瑞秋
- 선생님: ☆ 湯敬文
- 선생님: ☆ 李昌明
- 선생님: ☆ 潘仁義
- 선생님: ☆ 余國瑞
- 선생님: ☆ 黃崇勛
- 선생님: ☆ 劉祐任
- 선생님: ☆ 劉宗憲
- 선생님: ☆ 張嘉展
- 선생님: ☆ 胡家彰
- 선생님: ☆ 劉立頌
- 선생님: ☆ 張文恭