Course Information for 6640 - Introduction to Image Processing
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Primary Instructor: Guido Gerig
Credits: 3.0
Semesters Offered:Fall
Frequency Offered:Annual
Cross Listings:CP SC 6640
Prerequisites:Most of the knowledge required should be part of the standard undergraduate/graduate back- ground in Computer Science, Bioengineering and Electrical and Civil Engineering, including undergraduate/graduate Mathematics, Algorithms, and Programming. Students with di↵erent background and curriculum need to discuss suitability and options with the teacher.
Catalog Description: This is an introductory course in processing of grey-scale images. The course will cover both mathematical fundamentals and implementation details. Topics include sampling theory, transforms, and filtering. The course also covers basic image processing problems including enhancement, reconstruction, segmentation, feature detection and object recognition. Although the topic coverd in the course are of broad application the focus of this semester will be on the processing of two dimensional and 3 dimensional biological and medical Images.
Required Texts:Canvas and TBA
Optional Texts:Digital Image Processing, 3rd Edition, Rafael C. Gonzalez and Richard E. Woods, Prentice Hall. DIP-3E/dip3e_main_page.htm
Course Website:
Course Syllabus:Syllabus_6640.pdf