Exercise in Image Processing

Course Purpose
The purpose of this practical training course is for students to understand the characteristics of various methods of image processing through experiments for evaluating those methods with color images as well as depth images of the real world.
Learning Goals
Students will acquire an understanding of how to develop image processing programs as well as what results are obtained when those programs are applied for various images of the real world.
Topic
Session 1Camera input and display
Session 2Loading and saving image data
Session 3Region extraction based on color information
Session 4Binary image processing
Session 5Area extraction based on image differences
Session 6Performance evaluation experiment 1 (Algorithm design)
Session 7Performance evaluation experiment 1 (Experimental evaluation)
Session 8Extraction of edge features
Session 9Cut out a partial image
Session 10Template matching
Session 11Performance evaluation experiment 2 (Algorithm design)
Session 12Performance evaluation experiment 2 (Experimental evaluation)
Session 13Free production 1 (Algorithm design)
Session 14Free production 2 (Evaluation by experiment)
＊＊This content is based on April 1, 2024. For the latest syllabus information and details, please check the syllabus information inquiry page provided by the university.＊＊