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
115-1	364646	數位影像處理	1	3.0	3	★	陳金聖	自動化所 創新AI學位學程 創新資安學位學程 半導體學位學程	23	0	自動化所、創新AI、創新資安、創新半導體合開

教學大綱與進度：

教師姓名	陳金聖　教師諮商時間(Office Hours)
Email	saint@ntut.edu.tw
最後更新時間	2026-06-20 23:31:19
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 (1-16週)	Week 01 : Administrative/ Course introduction Week 02 : Chap 1. Introduction Week 03 : Chap 2. Digital Image Fundamentals Week 04 : Chap 2. Digital Image Fundamentals Chap 3. Intensity Transformations and Spatial Filtering Week 05 : Chap 3. Intensity Transformations and Spatial Filtering Week 06 : Chap 4. Filtering in the Frequency Domain Week 07 : Chap 4. Filtering in the Frequency Domain Week 08 : Midterm Week 09 : Chap 9. Morphological Image Processing Week 10 : Chap 9. Morphological Image Processing Week 11 : Chap 10. Image Segmentation Week 12 : Chap 10. Image Segmentation Week 13 : Chap 11. Representation and Description Week 14 : Chap 6. Color Image Processing/ Term project discussion Week 15 : Term project presentation(1/2) Week 16 : Term project presentation(2/2) Week 17 : Upload the final project Week 18 : Specific topic by industrial teacher
彈性學習 (17-18週)	類別 　 內容 　 時數 (小時) 　 學習成果 　 評量比例
評量方式與標準	Homework assignment (4): 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.
課程諮詢管道	1. The student can access curricular consultation by the instructor's email address.
延伸教學與資源	● 混成學習 (Blended Learning) 課程結合實體授課與線上學習（同步視訊／非同步活動）。 Combines face-to-face instruction with online learning (including synchronous video sessions or asynchronous activities).
課程對應SDGs指標	SDG4：優質教育（Quality Education） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
課程是否導入AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
備註	The course lecture will be offered online via Google meet if required.