CSCI 8810 (4 Hrs)
Introduction to Image Processing and Applications
Department of Computer Science
Required Text: TBA
Midterm Exam: 20%
Programming Assignments: 20%
Final Exam: 40%
Introduction to image processing operations, including:
low- and high-pass filters, component labeling, histogram
techniques, edge detection, noise reduction, image enhancement, image
segmentation, image data structures and pyramids, software
tools for imaging, compression, image analysis and applications
in vision, face recognition, remote sensing, digital mamography,
and other applications, ...
Introduction to parallel and distributed processing with
imaging applications in mind. Topics include, MIMD, SIMD,
SPMD, ..., distributed memory systems, shared memory systems,
interconnection networks, reconfigurable systems, hypercubes,
broadcasting algorithms, ...
In addition to 14 to 20 discussion sessions discussing
recent applications in image processing and computer vision.