山口大学教務システム - 3262420640-Digital Image Processing

開講年度	開講学部等
2025	大学院創成科学研究科（博士前期）
開講学期	曜日時限	授業形態	AL（アクティブ・ラーニング）ポイント
後期集中	集中	講義	4.0
時間割番号	科目名[英文名]			使用言語	単位数
3262420640	Digital Image Processing[Digital Image Processing]			英語	1
担当教員（責任）[ローマ字表記]					メディア授業
長篤志[OSA Atsushi]					ー
担当教員[ローマ字表記]
長篤志　[OSA Atsushi], 佐村俊和　[SAMURA Toshikazu]
特定科目区分		対象学生		対象年次
ディプロマ・ポリシーに関わる項目			カリキュラムマップ(授業科目とDPとの対応関係はこちらから閲覧できます)

授業の目的と概要

【注意】本講義は山口大学、ウダヤナ大学の共通科目のため英語で講義します。また、ウダヤナ大学の予定に合わせて変則的に実施されるため、履修登録前に担当者（長・佐村）に実施スケジュールを確認するようにして下さい。
[NOTICE] This is a course shared between Yamaguchi university and Udayana university. This course is irregularly scheduled according to the coordination with Udayana University. Please contact lecturers to confirm the lecture schedule before your course registration.

This is an introductory course in processing grey-scale and color images.
It will introduce students to the basic principles of processing digital signals and how those principles apply to images.
These fundamentals will include sampling theory, transforms, and filtering.

授業の到達目標

・understand and master the main methods for image digitization and digital image representation;
・understand and be able to apply and to select the two-dimensional unitary transformations on digital images, depending on the practical application intended (filtering, enhancement, analysis)
・understand, select, and apply the most common mathematical algorithms used in digital image enhancement (grey scale transformations and spatial operations)
・understand and be able to apply the most common algorithms for digital image restoration, especially regarding degradation estimation, noise modeling, de-blurring
・understand the principle and be able to apply the most common algorithms used in digital image segmentation; edge detection and contour-based methods; spatial domain image segmentation; feature space segmentation

授業計画

【全体】

This is an introductory course in processing grey-scale and color images.

	項目	内容	授業時間外学習	備考

第1回	Introduction	1)What is a digital image? 2)What is digital image processing? 3)History of digital image processing 4)State-of-the-art example of digital image processing 5)Key stages in digital image processing	reporting assignment (Estimated time：4 hours)

第2回

Image Processing Fundamentals

1)Light and the electromagnetic spectrum
2)Image sensing and acquisition
3)Sampling and quantization

reporting assignment
(Estimated time：4 hours)

第3回

Image Enhancement in the Spatial Domain(1)

1)What is an image enhancement?
2)Different kinds of image enhancement
3)Histogram processing

reporting assignment
(Estimated time：4 hours)

第4回

Image Enhancement in the Spatial Domain(2)

1)Neighborhood operations
2)Filtering process
3)Smoothing filters
4)Dealing with problems at image edges when applying filtering
6)Correlation and convolution

reporting assignment
(Estimated time：4 hours)

第5回

Image Enhancement in the Frequency Domain

1)The Fourier series and Fourier transform
2)Image processing in the frequency domain
3)Fast Fourier Transform(FFT)

reporting assignment
(Estimated time：4 hours)

第6回

Image Restoration and Image Segmentation

1)What is image restoration?
2)Noise and images
3)Noise models
4)Noise removal using spatial domain filtering
5)Periodic noise
6)Noise removal using frequency domain filtering

reporting assignment
(Estimated time：4 hours)

第7回

Morphological Image Processing

1)What is morphology?
2)Simple morphological operations
3)Compound operations
4)Morphological algorithms

reporting assignment
(Estimated time：4 hours)

第8回

Summary of previous lectures and examination

Checking understanding in the middle of this lecture series

review
(Estimated time：4 hours)

第9回

Exercise 1

Processing
Sampling

reporting assignment
(Estimated time：4 hours)

第10回

Exercise 2

Quantization and image matrix.
Basic intensity transformation

reporting assignment
(Estimated time：4 hours)

第11回

Exercise 3

Negative and gamma transformation
Histogram
Contrast change
Automatic gain control

reporting assignment
(Estimated time：4 hours)

第12回

Exercise 4

Fundamentals of spatial filtering
Smoothing spatial filter
Sharpening spatial filter

reporting assignment
(Estimated time：4 hours)

第13回

Exercise 5

Filtering in the frequency domain

reporting assignment
(Estimated time：4 hours)

第14回

Exercise 6

Morphological image processing
Thresholding
Erosion and Dilation
Opening and Closing

reporting assignment
(Estimated time：4 hours)

第15回

Summary

Summary of Course Contests

review
(Estimated time：4 hours)

第16回

Final Exam

Examination

review
(Estimated time：4 hours)

※AL（アクティブ・ラーニング）欄に関する注
・授業全体で、AL（アクティブ・ラーニング）が占める時間の割合を、それぞれの項目ごとに示しています。
・A〜Dのアルファベットは、以下の学修形態を指しています。
【A：グループワーク】、【B：ディスカッション・ディベート】、【C：フィールドワーク（実験・実習、演習を含む）】、【D：プレゼンテーション】

A: --%　B: --%　C: 40%　D: --%

成績評価法

Report for each lecture 20%
Mid-term examination 40%
Final examination 40%

教科書にかかわる情報

教科書	書名	Digital image processing				ISBN	9781292223049
教科書	著者名	Rafael C. Gonzalez, Richard E. Woods	出版社	Pearson				出版年	2018

備考

参考書にかかわる情報

備考

メッセージ

“Seeing is believing”
“A single eye-witness is better than many second-hand accounts”
“A picture is worth more than ten-thousand words”

キーワード

Digital Image Processing

持続可能な開発目標（SDGs）

(インフラ、産業化、イノベーション)強靱（レジリエント）なインフラ構築、包摂的かつ持続可能な産業化の促進及びイノベーションの推進を図る。

メディア授業