chucko@saturn.ucsc.edu (Chuck Stein) (06/11/88)
The University of California Eighteenth Annual INSTITUTE IN COMPUTER SCIENCE presents courses in: * Scientific Visualization * Fault Tolerant Computing * Parallel Computation * Image Engineering * Data Compression * Machine Learning at Techmart, Santa Clara and on campus in Santa Cruz Following is a course description for: ------------------------------------------------------------------------- Image Engineering: The Technologies and Applications of Contemporary Image Processing September 6-8 Instructors: PATRICK E. MANTEY, LEWIS E. HITCHNER, & HARWOOD G. KOLSKY X424 Computer Engineering (2) This course is for those who need a more fundamental understanding of digital imaging and who wish to participate in this next revolution in information systems. It is aimed at individuals with an interest in the technical implementation of image processing applications, but it can also serve managers who wish to explore how this technology can be applied in their own industries. Overview Advances in technology are making it possible for image data to be captured, processed, stored, retrieved, displayed, merged, and printed on affordable computer systems, including personal computers. This course begins with an overview of image processing concepts, followed by examples of applications where images are a large part of the data (along with text and graphics) in information systems. Such applications are found in computer-aided publishing, record-keeping (as in insurance, medicine, personnel, aerospace, libraries, utilities, etc.), medical imaging, advertising, parts inspection, remote sensing, and astronomy. Methods and computer system requirements for images will be developed and the added complexity introduced by color discussed. Algorithms for implementation of the image processing functions will be described, as well as the specialized hardware for their realization. Examples of image processing software and simple applications will be demonstrated on systems ranging from personal computers to mainframes. Hands-on experience will be provided for students on IBM PCs, utilizing IBM-PCIPS image processing software in the DOS environment and the HIPS system in the XENIX environment. Schedule of Topics: *Image Concepts: defining sources and scanning, storage and display, relationship of images to computer graphics. *Image Applications: examination of applications and requirements ranging from simple image storage, retrieval and display through image analysis and image enhancement. Selected applications such as medical imaging (e.g. magnetic resonance imaging), manufacturing inspection, remote sensing, and computer-aided publishing will be covered. *Mathematical Models of Images: description and development of scanning, sampling and aliasing, quantization, resolution conversion, and compression. *Algorithms for Image Analysis: description and/or development of selected algorithms including noise suppression, contrast enhance- ment, edge detection and enhancement, frequency domain filtering, color transformation. *Hardware for Image Applications: scanners and scanner technology, displays and workstations, storage, and printing. *Systems Issues for Implementation of Image Applications: storage system architecture and technology, required bandwidths for inter- connected workstations and image database servers, display and processing requirements. *Software Packages for image processing. *Image Storage in database systems. *Image Methods Used in Desk-Top Publishing and Advertising: edit- ing and enhancement, including digital halftoning, gamma correc- tion, and "electronic darkroom". *Workstation Architecture for image applications, including display and local storage, and requirements for local-area networks con- necting workstations sharing image databases. Instructors: PATRICK E. MANTEY, Professor and Chair of Computer Engineering at the University of California, Santa Cruz. LEWIS E. HITCHNER, Assistant Professor of Computer and Information Sciences at the University of California, Santa Cruz. HARWOOD G. KOLSKY, Adjunct Professor of Computer Engineering at the University of California, Santa Cruz. Fee: Credit, $875 (EDP C6030) Dates: Three Days, Tues.-Thu., Sept. 6-8, 9 a.m.-5 p.m. Place: Techmart, 5201 Great America Pkwy., Santa Clara ----------------------------------------------------------------------- RESERVATIONS: Enrollment in these courses is limited. If you wish to attend a course and have not pre-registered, please call (408) 429-4535 to insure that space is still available and to reserve a place. DISCOUNTS: Corporate, faculty, IEEE member, and graduate student discounts and fellowships are available. Please call Karin Poklen at (408) 429-4535 for more information. COORDINATOR: Ronald L. Smith, Institute in Computer Science, (408) 429-2386. FOR FURTHER INFORMATION: Please write Institute in Computer Science, University of California Extension, Santa Cruz, CA 95064, or phone Karin Poklen at (408) 429- 4535. You may also enroll by phone by calling (408) 429-4535. A packet of information on transportation and accommodations will be sent to you upon receipt of your enrollment.