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

110-2 302758 影像處理 1 3.0 3 ★ 金仕淳光電所 14 2 ◎ Digital Image Processin

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
110-2	302758	影像處理	1	3.0	3	★	金仕淳	光電所	14	2	◎ Digital Image Processin

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 2022-02-21 09:58:11

課程大綱 The objective of the course is to learn how the digital image practicing in real world applications, especially on medical image and computer vision. This class will introduce the composition of the image, image adjustment, composition, compression and feature extraction to apply on image detection and recognition. We will introduce some popular image processing algorithm about image processing and implement on medical imaging project.

課程進度 Week 1 What is Digital Image Processing Week 2 Digital Image Fundamentals Week 3 Intensity Transformations Week 4 Intensity Based Segmentation Week 5 Spatial Filtering and kernel function Week 6 Filtering in the Frequency Domain Week 7 Image Restoration - Recovery Week 8 Image Reconstruction Week 9 Midterm Week 10 Morphological Image Processing Week 11 Shape based Image Segmentation Week 12 Pattern Recognition and Description Week 13 Feature selection and Classifying Week 14 Image Compression Week 15 Medical Image format and processing Week 16 Final Project report (1) Week 17 Final Project report (2) Week 18 Final Project report (3)

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
Reference: 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

備註
1. MATLAB or Python programming skill is needed.
2. Due to the severity of the epidemic, this course will adopt a physical/online synchronized.
3. Please follow up the announce in iPlus system every week to check the course.

教師姓名	金仕淳
Email	a6210647@nycu.edu.tw
最後更新時間	2022-02-21 09:58:11
課程大綱	The objective of the course is to learn how the digital image practicing in real world applications, especially on medical image and computer vision. This class will introduce the composition of the image, image adjustment, composition, compression and feature extraction to apply on image detection and recognition. We will introduce some popular image processing algorithm about image processing and implement on medical imaging project.
課程進度	Week 1 What is Digital Image Processing Week 2 Digital Image Fundamentals Week 3 Intensity Transformations Week 4 Intensity Based Segmentation Week 5 Spatial Filtering and kernel function Week 6 Filtering in the Frequency Domain Week 7 Image Restoration - Recovery Week 8 Image Reconstruction Week 9 Midterm Week 10 Morphological Image Processing Week 11 Shape based Image Segmentation Week 12 Pattern Recognition and Description Week 13 Feature selection and Classifying Week 14 Image Compression Week 15 Medical Image format and processing Week 16 Final Project report (1) Week 17 Final Project report (2) Week 18 Final Project report (3)
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 Reference: 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
備註	1. MATLAB or Python programming skill is needed. 2. Due to the severity of the epidemic, this course will adopt a physical/online synchronized. 3. Please follow up the announce in iPlus system every week to check the course.