Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Spring Semester
Year 2023 317189 Digital Image Processing 1 3.0 3 ★ Shih-Chun Jin GEOE
IEECSG 8 2 光電系所和電資外所合開

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2023	317189	Digital Image Processing	1	3.0	3	★	Shih-Chun Jin	GEOE IEECSG	8	2	光電系所和電資外所合開

Course Plan：

Instructor Shih-Chun Jin

Email a6210647@nycu.edu.tw

Last Updated 2022-12-20 10:57:04

Course Objective 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.

Course Schedule 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)

Evaluation and grading policy (1) Homework 20% (2) Midterm 30% (3) Final Project report 30% (4) Participation 20%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
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

The access to curricular consultation Please contact by E-mail: a6210647@gmail.com

The course corresponds to the SDGs

Note
Provide video classes online.

Instructor	Shih-Chun Jin
Email	a6210647@nycu.edu.tw
Last Updated	2022-12-20 10:57:04
Course Objective	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.
Course Schedule	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)
Evaluation and grading policy	(1) Homework 20% (2) Midterm 30% (3) Final Project report 30% (4) Participation 20%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes 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
The access to curricular consultation	Please contact by E-mail: a6210647@gmail.com
The course corresponds to the SDGs
Note	Provide video classes online.