Graphics Programming, Digital & Video Photography Techniques, Image Processing, Electronics - Digital, Mathematics - Applied
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Overview
This state-of-the-art book deals with the most important aspects of non-linear imaging challenges. The need for engineering and mathematical methods is essential for defining non-linear effects involved in such areas as computer vision, optical imaging, computer pattern recognition, and industrial automation challenges.Audience: Electrical and computer engineers.
Editorials
Booknews
Signal and image processing have both recently experienced a massive influx of research into nonlinear methods and techniques. There are several reasons for this, two of the predominate include the fact that the human visual system contains non-linear aspects which need to be addressed in order to develop effective image processing algorithms, and that images generally do not satisfy the generally held hypothesis of Gaussianity and stationarity, and cannot, therefore, remove impulsive noise superimposed on an image without blurring its edges. This technical introductory text discusses several of the nonlinear options available for signal processing including homomorphic filters, mean filters, morphological filters, polynomial filters and fuzzy filters. Annotation c. Book News, Inc., Portland, OR (booknews.com)Book Details
Published
September 15, 2000
Publisher
San Diego, Calif. : Academic, c2001.
Pages
455
Format
Hardcover
ISBN
9780125004510