Course title
環境アセスメント学   [Environmental Assessment]
Course category specialized courses/ major subjects  Requirement   Credit 2 
Department   Year 34  Semester Fall 
Course type Fall  Course code 02a3663
Instructor(s)
難波 謙二   []
Facility affiliation Faculty of Agriculture 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. Computational anatomy and medical image processing
15. Big-data and deep learning
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
References
Digital image processing (in Japanese), CG-ARTS society.
Assessment/Grading
The grade evaluation is premised on all attendances, and comprehensively evaluates the attitude to learn, quizzes, and mid&final 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 : lu2t3mi)
Lecture Language
Japanese
Language Subject
Last update
4/15/2023 11:55:31 AM