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
112-2	331643	影像處理	1	3.0	3	★	金仕淳	光電所 電資外生所	10	0	光電三四、光電所和電資外生所合開

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	2023-12-14 11:23:14
課程大綱	The course aims to learn how digital images are practiced in real-world applications, especially in medical images and computer vision. This class will introduce the image's composition, image adjustment, composition, and even feature extraction for radiomics to apply to image detection and recognition. We will introduce some popular image processing algorithms about image processing and implement them in medical imaging projects.
課程進度	Week Topic Week 1 What is Digital Image Processing-Digital Image Fundamentals Week 2 Introduction to Python environment setting Week 3 Introduction to Medical Image Format Week 4 Intensity Transformations, Spatial Filtering, and kernel function (I) Week 5 Intensity Transformations, Spatial Filtering and kernel function (II) Week 6 Project Report (1) Week 7 Intensity-Based Segmentation Week 8 Morphological Image Processing Week 9 Feature Selection and Classifying Week 10 Project Report (2) Week 11 Fourier Properties and Filtering in the Frequency Domain (1) Week 12 Fourier Properties and Filtering in the Frequency Domain (2) Week 13 Fourier Properties and Filtering in the Frequency Domain (3) Week 14 Project Report (3) Week 15 Image restoration Week 16 Image reconstruction Week 17 Feature extraction, representation, and radiomics for medical Week 18 Project Report (4)
評量方式與標準	(1) Homework 40% (2) Project report 40% (3) 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 Digital Image Process 4/e Gonzalez & Woods
課程諮詢管道	E-mail to a6210647@nycu.edu.tw
課程對應SDGs指標
備註	Python programming skills are needed.