Course title
画像工学   [Image Engineering]
Course category technology speciality courses  Requirement   Credit 2 
Department   Year 34  Semester 1st 
Course type 1st  Course code 023663
Instructor(s)
清水 昭伸, 清水 郁子   [SHIMIZU Akinobu, SHIMIZU Ikuko]
Facility affiliation Faculty of Engineering Office   Email address

Course description
In this course, students will learn about basics of image processing and computer vision.
Basic theory and algorithms will be explained for processing input digital images using a computer to extract some kinds of information.
Expected Learning
See the Curriculum maps.
Course schedule
1. Introduction and imaging
2. Digital image ( sampling, quantization, color), Human perception
3. Statistics of image, Gray value transformation, Spatial filtering
4. Detection of lines and corners
5. Geometric transformation
6. Connected component processing, Thinning, Distance transform
7. Frequency filtering
8. Binary image processing
9. Region processing
10. Detection of patterns and geometric objects
11. Obtaining 3D information(1)
12. Obtaining 3D information(2)
13. Processing of image sequences
14. Big-data and deep learning
15. Computational anatomy and medical image processing
Prerequisites
You should prepare and review the contents of this lecture in addition to the standard hours (30 hours) of lectures, using teaching materials and reference books.In addition to 30 hours that students spend in the class, students are recommended to prepare for and revise the lectures, spending the standard amount of time as specified by the University and using the lecture handouts as well as the references specified below.
Required Text(s) and Materials
Digital image processing (in Japanese), CG-ARTS society.
References
Assessment/Grading
The grade evaluation in this online class is premised on all attendances, and comprehensively evaluates the attitude to learn, quizzes, report, and/or online tests. Standard study time set by the our university is required to get the grade.

Grade will be given according to the following criteria by comprehensive evaluation: S: 90 points or more, A: 80 or more and less than 90 points, B: 70 or more and less than 80 points, C: 60 or more and less than 70 points.
Message from instructor(s)
Course keywords
Image processing, computer vision
Office hours
Remarks 1
Remarks 2
Related URL
google classroom ( class code : syxbyp2)
Lecture Language
Japanese
Language Subject
Last update
4/1/2022 8:38:31 AM