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 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 1Image input and display
Session 2Region extraction based on pixel values
Session 3Region extraction based on image difference
Session 4Binary image processing
Session 5Performance evaluation experiment I (1) (Algorithm design)
Session 6Performance evaluation experiment I (2) (Experimental evaluation)
Session 7Edge feature extraction
Session 8Processing partial images
Session 9Template matching
Session 10Performance evaluation experiment II (1) (Algorithm design)
Session 11Performance evaluation experiment II (2) (Experimental evaluation)
Session 12Free production (1) (concept)
Session 13Free production (2) (Algorithm design)
Session 14Free production (3) (Experimental evaluation)
＊＊This content is based on April 1, 2025. For the latest syllabus information and details, please check the syllabus information inquiry page provided by the university.＊＊