Image Processing

Course Purpose
The purpose of this course is for students to obtain the basic knowledge about image processing as an area of artificial intelligence in a broad sense.
Learning Goals
Students will acquire an understanding of basic techniques to cope with major problems of image processing.
Topic
Session 1Introduction (basic attributes of digital images)
Session 2Representation of color information
Session 3Image difference and binarization
Session 4Binary image processing
Session 5Extraction of region features
Session 6Edge corner detection
Session 7Smoothing and sharpening
Session 8Straight line detection and robust estimation
Session 9Object tracking based on pixel features
Session 10Extraction of moving image features
Session 11Image quality and digitization
Session 12Correction of shading distortion and geometric distortion
Session 13Correction of position-invariant degradation over frequency space
Session 14Total review
＊＊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.＊＊