Reference Books |
Digital Image Processing |
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Digital Image Processing
Prentice Hall (Second Edition), Rafael C. Gonzales, Richard E. Woods.
ISBN: 0-2011-8075-8, Edition:2002
Description
For courses in Image Processing and Computer Vision. Completely self-contained-and heavily illustrated, this introduction to basic concepts and methodologies for digital image processing is written at a level that truly is suitable for seniors and first-year graduate students in almost any technical discipline. The leading textbook in its field for more than twenty years, it continues its cutting-edge focus on contemporary developments in all mainstream areas of image processing-e.g., image fundamentals, image enhancement in the spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, image description, and the fundamentals of object recognition. It focuses on material that is fundamental and has a broad scope of application.
Fundamentals of Electronic Image Processing |
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Fundamentals of Electronic Image Processing
SPIE/IEEE, Arthur R. Weeks, Jr.
ISBN: 0-7803-3410-8, Edition:1998
Description
Many disciplines of science and manufacturing acquire and analyze images on a routine basis. Typically these images must be processed so that important features can be measure or identified. It is the goal of this short course to introduce the fundamentals of electronic image processing to scientists and engineers that must know how to manipulate images that have been acquired and stored within a digital computer.
This book will enable you to: understand image storage, acquisition, and digitization become familiar with image transforms such as Fourier, Hough, Walsh, Hadamar, Discrete Cosine, and Hotelling understand the difference between the various types of linear and non-linear filters and when to use each learn the difference between several types of noise in the degradation of an image apply color image processing techniques to enhance and highlight key features in both color and gray scale images comprehend image segmentation techniques and how these techniques are used to extract objects from an image understand software approaches to image processing demonstrate how to use the UCFImage image processing software program included with the course. This book will be useful to engineers and scientists who have a need to understand and use image processing techniques, but have no formal training in image processing. It will give the individual insight into a number of complex algorithms as it applies to several different applications of this very interesting and important field.