課程名稱 |
數位影像處理 Digital Image Processing |
開課學期 |
104-1 |
授課對象 |
電機資訊學院 資訊工程學研究所 |
授課教師 |
洪一平 |
課號 |
CSIE5612 |
課程識別碼 |
922 U3010 |
班次 |
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學分 |
3 |
全/半年 |
半年 |
必/選修 |
選修 |
上課時間 |
星期一7,8,9(14:20~17:20) |
上課地點 |
資104 |
備註 |
限電資學院學生(含輔系、雙修生) 且 限學士班三年級以上 總人數上限:100人 |
Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1041CSIE5612_DIP |
課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
課程大綱
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課程概述 |
The outline of this course is given below.
I. Introduction
II. Digital Image Fundamentals
III. Intensity Transformations and Spatial Filtering
IV. Filtering in the Frequency Domain
V. Image Restoration and Reconstruction
VI. Morphological Image Processing
VII. Color Image Processing
VIII. Image Segmentation |
課程目標 |
The goal of this course is to introduce the basic concepts and techniques used in the field of digital image processing. |
課程要求 |
Students are expected to be familiar with the fundamentals of calculus, linear algebra and probability. In addition, students should be able to complete a programming section of the homework assignments and the term project using C/C++. |
預期每週課後學習時數 |
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Office Hours |
每週三 16:30~17:30 備註: 以下為助教時間;如欲找老師面談,請另約時間 |
指定閱讀 |
R.C. Gonzalez and R.E. Woods, Digital Image Processing, 3rd edition, Prentice Hall, 2010. |
參考書目 |
1. R.C. Gonzalez, R.E. Woods, Steven L. Eddins, Digital Image Processing Using
MATLAB, 2nd edition, Prentice Hall, 2009.
2. W. K. Pratt, Digital Image Processing, 4th edition, Wiley-Interscience, 2007.
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評量方式 (僅供參考) |
No. |
項目 |
百分比 |
說明 |
1. |
Homework assignments |
20% |
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2. |
In-Class Performance |
5% |
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3. |
Term Project and Presentation |
45% |
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4. |
Midterm Exam |
30% |
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週次 |
日期 |
單元主題 |
第1週 |
09/14 |
Chapter 1. Introduction |
第2週 |
09/21 |
Chapter 2: Digital Image Fundamentals |
第3週 |
09/28 |
中秋假期 |
第4週 |
10/05 |
Chapter 2: Digital Image Fundamentals
Chapter 3. Intensity Transformations and Spatial Filtering
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第5週 |
10/12 |
Chapter 3. Intensity Transformations and Spatial Filtering |
第6週 |
10/19 |
Introduction to OpenCV and Depth Cameras |
第7週 |
10/26 |
Two homework assignments using RealSense |
第8週 |
11/02 |
Chapter 3. Intensity Transformations and Spatial Filtering
Chapter 4. Image Enhancement in the Frequency Domain
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第9週 |
11/09 |
Chapter 4. Image Enhancement in the Frequency Domain
and INTEL Realsense
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第10週 |
11/16 |
Chapter 4. Image Enhancement in the Frequency Domain |
第11週 |
11/23 |
Closed-Book Exam
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第12週 |
11/30 |
Chapter 5. Image Restoration and Reconstruction
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第13週 |
12/07 |
Oral Presentation of Term Project Proposal |
第14週 |
12/14 |
Chapter 5. Image Restoration and Reconstruction
Chapter 6. Color Image Processing
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第15週 |
12/21 |
Chapter 6. Color Image Processing
Chapter 9. Morphological Image Processing
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第16週 |
12/28 |
* Chapter 10. Image Segmentation
* Background Recovery
* Wearable Display for Augmented Reality
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第17週 |
01/04 |
Term Project Presentation and Demo: Preliminary Competition |
第18週 |
01/11 |
Term Project Presentation and Demo: Final Competition
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