情報科学研究科Graduate School of Computer and Information Sciences
COT500K1（計算基盤 / Computing technologies 500）Global CIS Special Lecture 2 Global CIS Special Lecture 2
グローバルCIS特別講義2
内田 薫Kaoru UCHIDA
授業コードなどClass code etc
| 学部・研究科Faculty/Graduate school | 情報科学研究科Graduate School of Computer and Information Sciences |
| 添付ファイル名Attached documents | |
| 年度Year | 2022 |
| 授業コードClass code | TZ027 |
| 旧授業コードPrevious Class code | |
| 旧科目名Previous Class title | |
| 開講時期Term | 秋学期授業/Fall |
| 曜日・時限Day/Period | 水2/Wed.2 |
| 科目種別Class Type | |
| キャンパスCampus | 小金井 |
| 教室名称Classroom name | 各学部・研究科等の時間割等で確認 |
| 配当年次Grade | |
| 単位数Credit(s) | 2 |
| 備考（履修条件等）Notes | |
| 実務経験のある教員による授業科目Class taught by instructors with practical experience | |
| カテゴリーCategory |
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授業の概要と目的（何を学ぶか）Outline and objectives
Image processing and recognition:
This course is designed to give graduate students the fundamental knowledge and practical training of image processing and recognition, and how to apply them to real world problems.
到達目標Goal
The goal of this course is to have students familiarized with knowledge, understanding, and practices of the process and methodology for image processing and recognition.
この授業を履修することで学部等のディプロマポリシーに示されたどの能力を習得することができるか（該当授業科目と学位授与方針に明示された学習成果との関連）Which item of the diploma policy will be obtained by taking this class?
Among diploma policies, "DP1" and "DP2" are related.
授業で使用する言語Default language used in class
英語 / English
授業の進め方と方法Method(s)（学期の途中で変更になる場合には、別途提示します。 /If the Method(s) is changed, we will announce the details of any changes. ）
The course will mainly consist of lectures but time will be given for students to work on research and programming projects. Students will enjoy related practical Python programming using code samples provided by the instructor.
The course will mainly consist of lectures but time will be given for students to work on research and programming projects. Students are required to work on weekly programming exercises of CIS programming, such as mathematics and machine intelligence. Project/assignment outputs will be reviewed in the classroom.
アクティブラーニング（グループディスカッション、ディベート等）の実施Active learning in class (Group discussion, Debate.etc.)
あり / Yes
フィールドワーク（学外での実習等）の実施Fieldwork in class
なし / No
授業計画Schedule
授業形態/methods of teaching：対面/face to face
※各回の授業形態は予定です。教員の指示に従ってください。
1[対面/face to face]：Introduction
Introduction to image processing and recognition
2[対面/face to face]：Image processing 1
Image acquisition and digitization
3[対面/face to face]：Image processing 2
Point and neiborhood spatial filters
4[対面/face to face]：Image processing 3
Frequency domain image processing
5[対面/face to face]：Image processing 4
Noise removal and restoration
6[対面/face to face]：Image processing 5
Segmentation and thresholding
7[対面/face to face]：Image processing 6
Morphology
8[対面/face to face]：Midterm project
Midterm project workshop
9[対面/face to face]：Image matching 1
Template matching and feature matching
10[対面/face to face]：Feature extraction 1
Edge detection
- derivative-based techniques
- LOG and Zero-crossing
11[対面/face to face]：Feature extraction 2
Edge detection
- Canny filter
Corner detection and matchers
12[対面/face to face]：Feature extraction 3
SIFT and other techniques
13[対面/face to face]：Image matching 2
Hough transformation and vote-based techniques
14[対面/face to face]：Final project
Image recognition project workshop
授業時間外の学習（準備学習・復習・宿題等）Work to be done outside of class (preparation, etc.)
Reading, research and programming assignments.
Standard study time outside of class for preparation and review: 4 hours.
テキスト（教科書）Textbooks
Course materials will be provided in class.
参考書References
Rafael C. Gonzalez and Richard E. Woods, "Digital Image Processing (3rd Edition),” Prentice Hall, 2007.
Jan Erik Solem, "Programming Computer Vision with Python," Oreilly & Associates Inc, 2012.
C. M. Bishop, "Pattern Recognition and Machine Learning," Information Science and Statistics, Springer (October 1, 2007).
成績評価の方法と基準Grading criteria
Students will be evaluated on the basis of contribution in class (20%), and assignment outputs (80%).
学生の意見等からの気づきChanges following student comments
(None in particular.
Feedback from students will be encouraged throughout the course.)
学生が準備すべき機器他Equipment student needs to prepare
Students are expected to bring and use their laptop PCs for in-class programming exercises and presentations.