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課程名稱 |
數位影像處理
DIGITAL IMAGE PROCESSING |
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開課學期 |
96-1 |
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授課對象 |
電機資訊學院 資訊工程學研究所 |
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授課教師 |
洪一平 |
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課號 |
CSIE5612 |
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課程識別碼 |
922 U3010 |
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班次 |
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學分 |
3 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期二6,7,8(13:20~16:20) |
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上課地點 |
資103 |
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備註 |
限學士班三年級以上
總人數上限：100人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/961DIP |
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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 |
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課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
The outline of this course is given below.
I. Introduction
II. Digital Image Fundamentals
III. Image Enhancement in the Spatial Domain
IV. Image Enhancement in the Frequency Domain
V. Image Restoration
VI. Color Image Processing
VII. Wavelets and Multiresolution Processing
VIII. Image Compression
IX. Morphological Image Processing
X. Image Segmentation |
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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. |
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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, using either C/C++, Java, or Matlab. |
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預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
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參考書目 |
R.C. Gonzalez and R.E. Woods, Digital Image Processing, 2nd edition, Addison
Wesley, 2002.
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評量方式
(僅供參考) |
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No. |
項目 |
百分比 |
說明 |
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1. |
Homeworks |
30% |
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2. |
Two Exams |
35% |
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3. |
Term Project |
30% |
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4. |
In-class Performance |
5% |
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週次 |
日期 |
單元主題 |
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第1週 |
09/18 |
颱風放假 |
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第2週 |
09/25 |
中秋節 |
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第3週 |
10/02 |
Chapter 1. Introduction |
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第4週 |
10/09 |
Chapter 2. Digital Image Fundamentals |
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第5週 |
10/16 |
Chapter 3. Image Enhancement in the Spatial Domain |
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第6週 |
10/23 |
Chapter 3. Image Enhancement in the Spatial Domain |
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第7週 |
10/30 |
Chapter 4. Image Enhancement in the Frequency Domain |
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第8週 |
11/06 |
First Midterm Exam |
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第9週 |
11/13 |
Chapter 4. Image Enhancement in the Frequency Domain |
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第10週 |
11/20 |
Chapter 5. Image Restoration |
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第11週 |
11/27 |
Chapter 6. Color Image Processing |
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第12週 |
12/04 |
Chapter 9. Morphological Image Processing |
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第13週 |
12/11 |
Chapter 9. Morphological Image Processing |
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第14週 |
12/18 |
Second Midterm Exam |
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