EEAP 431: Digital Image Processing

Spring 1996, Prof. Frank Merat

General Information

Course Instructor: Frank Merat, flm at po.cwru.edu, Glennan 518, x4572

Required Text

Kenneth R. Castleman Digital Image Processing. Prentice-Hall, 1996. ISBN:0-13-211467-4.
Buy it for $117 (new) from www.bn.com: Digital Image Processing
Buy it for $105 (new) from www.amazon.com: Digital Image Processing

This course was taught jointly with EBME 512 (Prof. David Wilson) so you will find some references and materials from that class in these notes.

NOTE: These were old notes and there is a lot of duplication of pages between pdf files.

Basic Image Acquisition Image sensors, cameras, scanners, film. Sampling and digitizing. (PDF, 1MB)
MATLAB Image Processing Toolbox (PDF, 512kB)
Binary images Threshold, segmentation, topology, region labeling and blob coloring, binary machine vision (PDF, 800kB)
Binary images Moments, projections, texture, extrema, more moments, gray scale moment, object signatures (PDF, 1.8 MB)
Geometric Transformations Bilinear interpolation, geometric operations, image warping, homogeneous coordinates, coordinate transformations, perspective transformation, camera calibration (PDF, 4.3 MB)
Image filtering Histograms, histogram equatiozation, 2-D convolution, 2-D Fourier transforms, image noise, linear and non-linear filters, Gaussian filters, Laplacian of Gaussian, median filters, edge detection, Canny edge operator, sequential similarity detection, discrete 2-D correlation and convolution, differential operators, local operators and noise (PDF, 1.8 MB)
More edge operators Roberts, Prewitt, Sobel, Kirsch, etc. Image approximation, Gaussian edge detection, sub-pixel edge localization, edge relaxation, search correlation, (PDF, 2MB)

References Dana H. Ballard and Christopher M. Brown Computer Vision. Prentice-Hall, 1982. ISBN:0-13-165316-4. This book is long out of print but gives a good overview of a computer science perspective of digtial image processing as applied to computer vision. Berthold Klaus Paul Horn Robot Vision. McGraw-Hill, 1986. ISBN:0-07-030349-5. This book gives a computer science perspective of machine vision methods applied to the real world.

Created: 2004-8-29. Last Modified: 2004-8-31.