查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

109-1 280173 數位影像處理 1 3.0 3 ★ 陳金聖自動化所
機械自動化外生專班
機電博所
機電外國學生專班 40 3 ◎自動化所、機電博班和自動外生專班合開

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
109-1	280173	數位影像處理	1	3.0	3	★	陳金聖	自動化所機械自動化外生專班機電博所機電外國學生專班	40	3	◎自動化所、機電博班和自動外生專班合開

教學大綱與進度：

教師姓名陳金聖

Email saint@ntut.edu.tw

最後更新時間 2020-06-13 14:11:55

課程大綱本課程在使學生瞭解數位影像之觀念及相關技術，並學習實際用高階語言實現數位影像處理之技術。內容包含：(1)介紹，(2)數位影像基礎，(3)強度轉換與空間域濾波，(4)頻域濾波，(5)形態學影像處理，(6)影像分割，(7)影像表示與描述，(8)彩色影像處理，(9)業界講師應用例演講。 This course is a graduate-level introductory course to digital image processing. The goal of this course is to let students to understand the concepts and techniques used in the field of digital image processing. In addition, students will be using the high level language (C, C++) to complete the programming of the corresponding techniques. The contents: (1) Introduction, (2) Digital Image Fundamentals, (3) Intensity Transformations and Spatial Filtering, (4) Filtering in the Frequency Domain, (5) Morphological Image Processing, (6) Image Segmentation, (7) Representation and Description, (8) Color Image Processing, (9) Specific topic by industrial teacher.

課程進度 Week 01, 9/17 : Administrative/ Course introduction Week 02, 9/24: Course Introduction/ Chap 1. Introduction Week 03, 10/01 : Holiday Week 04, 10/08 : Chap 2. Digital Image Fundamentals Week 05, 10/15 : Chap 3. Intensity Transformations and Spatial Filtering Week 06, 10/22 : Chap 3. Intensity Transformations and Spatial Filtering Week 07, 10/29 : Chap 4. Filtering in the Frequency Domain Week 08 11/05 : Chap 4. Filtering in the Frequency Domain Week 09, 11/12 : Midterm Week 10, 11/19 : Chap 9. Morphological Image Processing Week 11, 11/26 : Chap 9. Morphological Image Processing Week 12, 12/03 : Chap 10. Image Segmentation Week 13, 12/10 : Chap 10. Image Segmentation Week 14, 12/17 : Chap 11. Representation and Description Week 15, 12/24 : Chap 11. Representation and Description Week 16, 12/31 : Chap 6. Color Image Processing/ Term project discussion Week 17, 01/07 : Specific topic by industrial teacher Week 18, 01/14 : Term project presentation

評量方式與標準 Homework assignment (4~5): 50% Midterm: 20% Term project and competition: 30%

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：是
Textbook R. C. Gonzalez and R. E. Woods, “Digital Image Processing,” 3th edition, Prentice Hall, 2010. Reference book 1.R. C. Gonzalez, R. E. Woods and S. L. Eddins, “Digital Image Processing Using MATLAB,” McGraw-Hill, 2011. 2.S. E. Umbaugh, Digital Image Processing and Analysis, 2nd edition, CPC Press, 2011.

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備註

教師姓名	陳金聖
Email	saint@ntut.edu.tw
最後更新時間	2020-06-13 14:11:55
課程大綱	本課程在使學生瞭解數位影像之觀念及相關技術，並學習實際用高階語言實現數位影像處理之技術。內容包含：(1)介紹，(2)數位影像基礎，(3)強度轉換與空間域濾波，(4)頻域濾波，(5)形態學影像處理，(6)影像分割，(7)影像表示與描述，(8)彩色影像處理，(9)業界講師應用例演講。 This course is a graduate-level introductory course to digital image processing. The goal of this course is to let students to understand the concepts and techniques used in the field of digital image processing. In addition, students will be using the high level language (C, C++) to complete the programming of the corresponding techniques. The contents: (1) Introduction, (2) Digital Image Fundamentals, (3) Intensity Transformations and Spatial Filtering, (4) Filtering in the Frequency Domain, (5) Morphological Image Processing, (6) Image Segmentation, (7) Representation and Description, (8) Color Image Processing, (9) Specific topic by industrial teacher.
課程進度	Week 01, 9/17 : Administrative/ Course introduction Week 02, 9/24: Course Introduction/ Chap 1. Introduction Week 03, 10/01 : Holiday Week 04, 10/08 : Chap 2. Digital Image Fundamentals Week 05, 10/15 : Chap 3. Intensity Transformations and Spatial Filtering Week 06, 10/22 : Chap 3. Intensity Transformations and Spatial Filtering Week 07, 10/29 : Chap 4. Filtering in the Frequency Domain Week 08 11/05 : Chap 4. Filtering in the Frequency Domain Week 09, 11/12 : Midterm Week 10, 11/19 : Chap 9. Morphological Image Processing Week 11, 11/26 : Chap 9. Morphological Image Processing Week 12, 12/03 : Chap 10. Image Segmentation Week 13, 12/10 : Chap 10. Image Segmentation Week 14, 12/17 : Chap 11. Representation and Description Week 15, 12/24 : Chap 11. Representation and Description Week 16, 12/31 : Chap 6. Color Image Processing/ Term project discussion Week 17, 01/07 : Specific topic by industrial teacher Week 18, 01/14 : Term project presentation
評量方式與標準	Homework assignment (4~5): 50% Midterm: 20% Term project and competition: 30%
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：是 Textbook R. C. Gonzalez and R. E. Woods, “Digital Image Processing,” 3th edition, Prentice Hall, 2010. Reference book 1.R. C. Gonzalez, R. E. Woods and S. L. Eddins, “Digital Image Processing Using MATLAB,” McGraw-Hill, 2011. 2.S. E. Umbaugh, Digital Image Processing and Analysis, 2nd edition, CPC Press, 2011.
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