- 教師: ☆ 余國瑞
- 教師: ☆ 朱元三
- 教師: ☆ 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
- 教師: ☆ 江瑞秋
- 教師: ☆ 湯敬文
- 教師: ☆ 李昌明
- 教師: ☆ 潘仁義
- 教師: ☆ 余國瑞
- 教師: ☆ 黃崇勛
- 教師: ☆ 劉祐任
- 教師: ☆ 劉宗憲
- 教師: ☆ 張嘉展
- 教師: ☆ 胡家彰
- 教師: ☆ 劉立頌
- 教師: ☆ 張文恭