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
111-2	317188	影像處理	1	3.0	3	★	金仕淳	光電四 光電三	10	0	光電三四和光電所合開

教學大綱與進度：

教師姓名	金仕淳
Email	a6210647@nycu.edu.tw
最後更新時間	2022-12-20 10:56:04
課程大綱	The objective of the course is to learn how digital image practices in real-world applications, especially in medical images and computer vision. This class will introduce the image's composition, image adjustment, design, and even feature extraction for radiomics to apply to image detection and recognition. We will train some popular image processing algorithms about image processing and implement them in medical imaging projects.
課程進度	Week 1 Review background - Linear system, linear algebra, and probability. Week 2 What is Digital Image Processing-Digital Image Fundamentals Week 3 Intensity Transformations, Spatial Filtering, and kernel function Week 4 Fourier properties and Filtering in the Frequency Domain Week 5 Image Restoration - Recovery Week 6 Image Reconstruction Week 7 Morphological Image Processing Week 8 Intensity-Based Segmentation Week 9 Midterm Week 10 Shape based Image Segmentation Week 11 Pattern Recognition and Description Week 12 Feature selection and Classifying Week 13 Medical Image format and processing Week 14 Radiomics in medical image and information Week 15 Final Project report (1) Week 16 Final Project report (2) Week 17 Final Project report (3) Week 18 Final Project report (4)
評量方式與標準	(1) Homework 20% (2) Midterm 30% (3) Final Project report 30% (4) Participation 20%
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 1. Digital Image Process 4/e Gonzalez & Woods 2. The Image Processing Handbook 5/e John C. Russ 3. Medical Image Reconstruction: A Conceptual Tutorial Gengsheng Lawrence Zeng 4. Digital Image Processing Using MATLAB, 2/e Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins
課程諮詢管道	Please contact by E-mail: a6210647@gmail.com
課程對應SDGs指標
備註	Provide video classes online.