Hiroshima University Syllabus

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Japanese
Academic Year 2022Year School/Graduate School School of Informatics and Data Science
Lecture Code KA206001 Subject Classification Specialized Education
Subject Name 画像処理
Subject Name
(Katakana)
ガゾウショリ
Subject Name in
English
Image Processing
Instructor HIGAKI TORU
Instructor
(Katakana)
ヒガキ トオル
Campus Higashi-Hiroshima Semester/Term 3rd-Year,  First Semester,  2Term
Days, Periods, and Classrooms (2T) Thur5-8:ENG 114
Lesson Style Lecture Lesson Style
(More Details)
 
Lecture and programming exercises 
Credits 2.0 Class Hours/Week   Language of Instruction B : Japanese/English
Course Level 3 : Undergraduate High-Intermediate
Course Area(Area) 25 : Science and Technology
Course Area(Discipline) 02 : Information Science
Eligible Students 3rd Year
Keywords image processing, image recognition, computer graphics 
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Program
電気・電子・システム・情報系プログラム
(能力・技能)
・電気,電子,システム,情報工学分野の基礎概念,知識および手法を具体的・専門的な問題に応用する能力。 
Criterion referenced
Evaluation
Informatics and Data Science Program
(Abilities and Skills)
・I3. Knowledge related to hardware and software, and the programming skills required for efficiently processing data.
 
Class Objectives
/Class Outline
The goal of this lecture is to deliver basic knowledge and algorithms of image processing and recognition, and computer graphics. 
Class Schedule lesson1
imaging process
color model and intensity transformation
lesson2
filtering
restoration
lesson3
geometric transformation
lesson4
binary image processing
lesson5
region process
lesson6
feature extraction
lesson7
pattern matching
lesson8
pattern recognition
lesson9
movie processing
lesson10
structure from motion
photometric analysis
lesson11
camera model, coordinate transformation, viewing pipeline
lesson12
modeling
lesson13
rendering, hidden surface removal
lesson14
shading, texture mapping
lesson15
animation

programing projects are assigned.
intermediate exams will be planned. 
Text/Reference
Books,etc.
教科書
ディジタル画像処理 [改訂新版],画像情報教育振興協会, ISBN978-4-903474-50-2 (2015/3/9)

参考書
ビジュアル情報処理 -CG・画像処理入門- [改訂新版], 画像情報教育振興協会 (2017/3)
コンピュータグラフィックス[改訂新版], 画像情報教育振興協会, ISBN978-4-903474-49-6 (2015/3/9) 
PC or AV used in
Class,etc.
 
(More Details) Books, PDF handouts, PC 
Learning techniques to be incorporated  
Suggestions on
Preparation and
Review
refer chapters of the textbooks 
Requirements Prepare a laptop PC for projects and referencing PDF handouts during lectures. 
Grading Method exams and project reports are evaluated. 
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
Message  
Other   
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. 
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