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Digital Image Processing
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| Organization: | University of Southern Maine |
| Department: | Electrical Engineering |
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College
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The course is to provide a modern, hands-on introduction to digital image processing appropriate for third and fourth year undergraduate electrical/computer engineering and science students. The course is a challenging mixture of mathematical theory and practical implementation issues. The goal is for the students to gain a strong understanding of some of the fundamental concepts of the discipline and the confidence to develop their own image manipulation algorithms.
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Digital Image Processing, by R. Gonzalez and R. Woods, Addison-Wesley, 1992
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The theory and practice of digital processing of images by computer. Introduction to two-dimensional signal processing theory. Image acquisition and representation, enhancement methods, image coding, image analysis, and image processing hardware.
The Digital Image Processing course is taught in a computer-equipped classroom to benefit from the use of modern computational systems such as Mathematica. The Mathematica classroom is a combination traditional classroom and computer laboratory. The room allows for efficient mixing of two modes of instruction, a traditional lecture and a laboratory, combining their strengths and eliminating the weaknesses. The increased use of computation and visualization helps in understanding the basic theoretical concepts and stimulates active exploration of the subject matter. Mathematica notebooks covering most of the major topics of the course present the basic theory and reveal implementation methods for many important image processing operators. The use of a capable computational tool allows for the experimentation with image processing methods that go far beyond textbook examples increasing the students' understanding and interest.
Topics:
- Digital image representation
- Image geometry and spatial transformation
- Basics of 2-D LSI systems theory
- Image transforms
- Image enhancement
- Image morphology
- Image compression and coding
- Image segmentation
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http://www.usm.maine.edu/~mjankowski/docs/ele489/
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