Course Syllabus

Course Information：

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2026	359725	Digital Image Processing Practice	1	3.0	3	★	Kuo,Tien-Ying	4EE3A 4EE3B 4EE3C	27	0	計中電腦教室,電機三甲乙丙合開,預選限40人

Course Plan：

Instructor	Kuo,Tien-Ying　Office Hours
Email	tykuo@ntut.edu.tw
Last Updated	2025-12-10 20:13:24
Course Objective	《數位影像處理實務》是一門以基礎理論結合實作應用為核心的課程，內容涵蓋影像處理中最重要且最常用的技術。本課程從影像基本概念與系統介紹開始，依序講解點運算、鄰域運算、離散傅立葉轉換與頻率域分析。接續介紹影像增強、影像復原以及影像分割等核心主題。 課程著重於以程式實作理解演算法原理，搭配 MATLAB 或 Python 完成影像處理任務，使學生能夠掌握空間域與頻率域的實作技巧。本課程特別適合修過《訊號與系統》與修過或正在修習《數位訊號處理》的學生，作為進入電腦視覺與人工智慧／機器學習影像領域的基礎
Course Schedule	Ch00 - Matlab Ch01 - Introduction Ch02 - Point Processing Ch03 - Neighbourhood Processing Week 9 - Midterm exam Ch04 - The Fourier Transform Ch05 - Image Restoration (1) Ch06 - Image Restoration (2) Week 18 - Final exam If there is more time left: Ch07 - Image Segmentation (1) Ch08 - Image Segmentation (2) Ch09 - Mathematical morphology (1) Ch10 - Mathematical morphology (2) Ch11 - Colour processing Ch12 - Image coding and compression
Evaluation and grading policy	Midterm&Final: 20%+20% Lab test/homework/quiz: 60%, Attendance: Must Exams: Closed book.
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Textbook: (1) Handout (2) Digital Image Processing Using MATLAB, Gonzalez & Woods & Eddins, Prentice Hall. (3) Digital Image Processing, Gonzales & Woods, Addison Wisley (4) An Introduction to Digital Image Processing with Matlab, Alasdair McAndrew
The access to curricular consultation	1. Ask in Line group (will be created after lectures start) 2. E-mail to me or TA to ask questions or make appointments. 3. Come to ask me or TA (綜科212) during office hours.
Expanding teaching and resources
The course corresponds to the SDGs	無（None）
Does the course incorporate AI	● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
Note	1. 有加退選簽核或課程問題請email給我 tykuo@ntut.edu.tw，信件標題 [課程名稱]_班級_名字。 2. 課程資料將由北科i學園plus或line群公布。 3. 如果(像是之前疫情，或如教室翻新本學期17,18週)無法實體上課，用Microsoft Teams於原定上課時間遠距上課，細節再另行Line公布，會彈性調整評分項目與配分比例。