Image Processing

Course Information

College Tsuyama College Year 2021
Course Title Image Processing
Course Code 0035 Course Category Specialized / Elective
Class Format Lecture Credits Academic Credit: 2
Department Advanced Electronics and Information System Engineering Course Student Grade Adv. 2nd
Term First Semester Classes per Week 2
Textbook and/or Teaching Materials Textbooks : Nothing, Reference : Resources on the Internet, such as related books
Instructor YABUKI Noboru

Course Objectives

Learning purposes :
To understand the concept of image processing and image processing methods for practical use of image processing technology. In addition, to understand how to configure an image processing system and to learn how to configure the system.

Course Objectives :
To understand the field of image processing that has not been covered in other subject areas.
1. To be able to understand and explain image processing methods.
2. To understand how to configure image processing systems.
3. To deepen the understanding through exercises, research presentations and assignment reports.

Rubric

ExcellentGoodAcceptableNot acceptable
Achievement 1To be able to explain in detail the methods of image processing, including applications.To be able to explain the basic methods of image processing in detail.To be able to explain the basic methods of image processing (presentation).Cannot explain the methods of image processing.
Achievement 2To be able to construct an image processing system in detail and explain it fully.To be able to construct an image processing system in detail.To be able to explain the basic configuration of an image processing system (examination).Cannot explain the configuration of an image processing system.
Achievement 3Be able to serve as a role model for other students in research presentations and assignment report writing.To be able to make sufficient research presentations and reports.Be able to make a presentation and write a report.Cannot make a presentation or write a report.

Assigned Department Objectives

Teaching Method

Outline:
General or Specialized : Specialized
Field of learning : Information / Control
Foundational academic disciplines : Engineering / Electrical and Electronic Engineering / Instrumentation Engineering
Relationship with Educational Objectives :
This class is equivalent to "(2) Knowledge in the following specialized technical fields can be applied to mechanical and system design, manufacture, and operations. Specialized technical fields pertaining to electrical/electronic engineering, and information/control systems."

Relationship with JABEE programs :
The main goal of learning / education in this class are "(A)... A-2...", incidentally also involved in "A-3".

Course outline :
With the development of computers, image processing technology has come to be used in all fields of industry. In this course, students will learn the concept of image processing and image processing methods for using image processing technology, and check the actual processing results. In addition, students will be explained how to construct an image processing system by using examples.
Style:
Course method :
The basic information of image processing will be explained first, and then the students will present their research on various image processing methods. In other words, the students are asked to report the results of their investigations and examples of the class contents, and the missing items are explained. In addition, students are required to learn the configuration of the image processing system as extra time to deepen their understanding.

Grade evaluation method :
Examination(60%)+Research presentation (20%)+ assignment report, etc. (20%)
・ Examination allow notebooks to be brought in.
・ For those who have less than 60 points in each regular test, supplementary lessons will be given, and if the understanding can be confirmed by the retest, the points may be changed. However, the evaluation after the change shall not exceed 60 points.

List of Research presentation
Sampling theorem, density transform, histogram, spatial filtering, smoothing, edge extraction,
Histogram, Spatial Filtering, Smoothing, Edge Extraction, Fourier Transform, Frequency Filtering, Binarization, Binary Image Processing, Line Detection, Color Image, Pattern Recognition, Video Image Processing, Image Coding, etc.
Lessons Learned in Extra Time
* Research on the class contents and prepare presentation materials
* Configuration of image processing systems and preparation of assignment reports
Content of the report
 Objectives
 Flow of the image processing system
 Summary
 (Progress report of the system configuration will be given during the lecture.)
Notice:
Precautions on the enrollment :
For network program choosers, students must take this class (no more than one-third of the required number of class hours missed) in order to complete the 5th year course. This is a class that requires study outside of class hours. A total of 45 hours of study is required per credit, including both class time and study outside class time. Follow the instructions of the instructor regarding study outside of class hours.
Course advice :
As a preparatory study, students should research the applications of using images.
Foundational subjects : Differential and IntegralⅠ,Ⅱ(2nd,3th), Applied MathematicsⅠ,Ⅱ(E4th,C4th), Digital Signal Processing(C5th)
Related subjects : Digital Signal Processing(EC-2nd), etc.

Attendance advice :
There is a certification examination related to image processing (Image Processing Engineer Certification Examination), and it would be a good idea to challenge this examination. Students who have not taken imaging courses in this course should actively seek advice from their instructors if they have any questions about research methods or content.
Check for late arrivals in quarters of class time. Late arrivals of 25 minutes or more are treated as one absence.
Students are required to submit a report on their overtime study after all lectures.

Characteristics of Class / Division in Learning

Active Learning
Aided by ICT
Applicable to Remote Class
Instructor Professionally Experienced
Elective Subjects

Course Plan

Theme Goals
1st Semester
1st Quarter
1st Guidance, overview and history of image processing Understand the overview of image processing
2nd Basics of digital images, Application fields of image processing, Examples of image processing applications Be able to explain the basics of image processing
3rd Basics of image processing systems To understand the basics of image processing systems
4th To be able to explain the structure of input/output devices (digital cameras, etc.) To be able to explain the structure of input/output devices
5th Presentation of assignment Presentation of assignment Questions and answers
6th Presentation of assignment Presentation of assignment Questions and answers
7th Presentation of assignment Presentation of assignment Questions and answers
8th Presentation of assignment Presentation of assignment Questions and answers
2nd Quarter
9th Presentation of assignment Presentation of assignment Questions and answers
10th Presentation of assignment Presentation of assignment Questions and answers
11th Presentation of assignment Presentation of assignment Questions and answers
12th Presentation of assignment Presentation of assignment Questions and answers
13th Configuration of image processing system Preparation of the concept of image processing system configuration
14th Creation of algorithms for image processing system Completion of creation of algorithms for the image processing system
15th Summary of image processing and final exam of the previous semester Confirmation of summary of image processing so far and the final exam
16th (Final exam of the first semester) (Later, return and check the answer sheets of the final exam)

Evaluation Method and Weight (%)

ExaminationPresentationAssignmentTotal
Subtotal602020100
Basic Proficiency0000
Specialized Proficiency602020100
Cross Area Proficiency0000