ELEC 472 - Image Processing

Institution:

Alfred University

Subject:

Electrical Engineering

Description:

3 hours. An introductory course containing both optical and digital image processing. Contents include: partial coherence and optical transform, optical signal processing, spatial light modulators and detectors, image plane, impulse functions, fourier transform, convolution, restoration, projection-slice, tomography, compression, basics of pattern recognition. Prerequisites: PHYS 126, MATH 271. Courses of Instruction: New York State College of Ceramics 287 ELEC 474 - Genetic Algorithms 3 hours. Genetic Algorithms, GA, are search and optimization techniques that function according to the evolutionary processes. GA is a member of AI family. A number of modern search and optimization techniques, including simple GA and classifier systems are introduced. The main objectives of the course are to gain a foundational understanding of GA and to become familiar with the mechanics of the process. Genetic Algorithms is a project-based course. Prerequisites: ELEC 303, MATH 271.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.alfred.edu

Phone Number:

(607) 871-2111

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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