Advanced Topics in Image Processing and Computer Vision. (3-0) 3 Credit Hours

Catalog description

Prerequisite: EE 5153 and EE 5163 , or consent of instructor. Topics may include the following: Topic 1: Biomedical Image Processing. The course covers medical and biological image processing, projection-slice theorem, and Radon transform, including image reconstruction by parallel projections, enhancement, and multimodal techniques, along with MRI, CT, and PET imaging applications. Topic 2: Quantum Image Processing. Covering quantum gates and algorithms and their applications in color and grayscale image processing. Students will learn about quantum image representation and processing techniques through a combination of lectures and projects. Topic 3: Computer Vision and Applications. Students explore the core principles of computer vision, from image perception and edge detection to classification with SVMs, applying these concepts to practical domains using tools like chain codes and B-splines. This course has Differential Tuition.