Subject: Biomedical Imaging
Course Number: 260
Course Title: Image Processing and Analysis I
School: Graduate Division
Department: Biomedical Imaging Program
Course Description: This course covers basic digital image processing techniques used for the analysis of biomedical images. Topics include fourier transforms, spatial and frequency domain filtering, image segmentation and statistical methods used to analyze biomedical images. The course grade is based on homeworks, in-class quizzes, a final exam, and a project that requires students to demonstrate their understanding of image processing techniques using the Matlab programming environment.
Prerequisites: Mathematical background and computer programming experience is strongly recommended.
Restrictions: For Master's of Science in Biomedical Imaging students. Open to other students at the discretion of the course instructor and space permitting.
Instructor of Record: D. Tosun-Turgut
May the student choose the instructor for this course? No
Does enrollment in this course require instructor approval? Yes
Quarter(s) Offered: Fall
Course Grading Convention: Letter Grade
Graduate Division course: Yes
Is this a web-based online course? No
Is this an Interprofessional Education (IPE) course? No
May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes
Repeat course for credit? No