Department of Electrical and Computer Engineering

ECE 558 Digital Image Processing I

Basic concepts, scope and examples of digital image processing, digital image fundamentals, image sampling and quantization, an image model, relationships between pixels, enhancement in the spatial domain, enhancement in the frequency domain, image segmentation, basics of color image processing.

Credit Hours: 3 Lecture

Prerequisites: Consent of instructor

Course Coordinator: Lalit Gupta

Textbooks:

1. "Digital Image Processing, 2nd Edition", R.C. Gonzalez and R.E. Woods, Prentice Hall, 2002, ISBN: 0-201-18075-8.

References:

1. Journal Papers.

Goals:

1. To introduce graduate students to the basic topics in image processing.

Projects:

1. Connected components labeling.

2. 2-D Discrete Fourier transform.

3. Histogram equalization.

4. Averaging and median filtering.

5. Edge detection.

6. Segmentation.

Computer Tools: Matlab

Last Review: Spring Semester 2004