課程與核心能力關聯配比(%) |
課程目標之教學方法與評量方法 |
課程目標 |
核心能力 |
配比(%) |
教學方法 |
評量方法 |
The goal of the course is to help students learn basic concepts and theory on Image Processing and to have enough skills to apply them on the real world. |
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授課內容(單元名稱與內容、習作/每週授課、考試進度-共18週) |
週次 |
授課內容 |
第1週 |
Introduction (Chap 1) |
第2週 |
Digital Image Fundamentals (Chap 2) |
第3週 |
Digital Image Fundamentals (Chap 2) |
第4週 |
Basic MATLAB Programming to Digital Image Processing |
第5週 |
Intensity Transformations and Spatial Filtering (Chap 3)/ HW #1 |
第6週 |
Intensity Transformations and Spatial Filtering (Chap 3) |
第7週 |
Holiday (Children’s Day) |
第8週 |
Filtering in the Frequency Domain (Chap 4)/ HW #2 |
第9週 |
Filtering in the Frequency Domain (Chap 4) |
第10週 |
Image Restoration and Reconstruction (Chap 5)/ HW #3 |
第11週 |
Image Restoration and Reconstruction (Chap 5) |
第12週 |
Color Image Processing (Chap 6)/ HW #4 |
第13週 |
Color Image Processing (Chap 6) |
第14週 |
HW #5 |
第15週 |
Final Exam |
第16週 |
Term Project |
第17週 |
Term Project |
第18週 |
Term Project |
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學習評量方式 |
Homework: 50%
Final: 30%
Term Project: 20%
(Extra Credit) Attendance: 5% |
教科書&參考書目(書名、作者、書局、代理商、說明) |
Textbook
Gonzalez and Woods, “Digital Image Processing”, 3rd edition, Prentice Hall, 2008. (歐亞書局代理).
Gonzalez and Woods, “Digital Image Processing”, 4th edition, Pearson, 2018. (開發圖書代理).
Reference book
Gonzalez and Woods, “Digital Image Processing Using MATLAB”, 2nd edition, Prentice Hall, 2010. (新月圖書代理) |
課程教材(教師個人網址請列在本校內之網址) |
iLearning 3.0 |
課程輔導時間 |
Thursday 5:00pm – 6:00pm or by appointment |
聯合國全球永續發展目標(連結網址) |
08.就業與經濟成長   09.工業、創新基礎建設 | 提供體驗課程:N |
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