Filtering, Segmentation and Depth (Paperback, 1993 ed.)

Computer vision seeks a process that starts with a noisy, ambiguous signal from a TV camera and ends with a high-level description of discrete objects located in 3-dimensional space and identified in a human classification. This book addresses the process at several levels. First to be treated are the low-level image-processing issues of noise removaland smoothing while preserving important lines and singularities in an image. At a slightly higher level, a robust contour tracing algorithm is described that produces a cartoon of the important lines in the image. Thirdis the high-level task of reconstructing the geometry of objects in the scene. The book has two aims: to give the computer vision community a new approach to early visual processing, in the form of image segmentation that incorporates occlusion at a low level, and to introduce real computer algorithms that do a better job than what most vision programmers use currently. The algorithms are: - a nonlinear filter that reduces noise and enhances edges, - an edge detector that also finds corners and produces smoothed contours rather than bitmaps, - an algorithm for filling gaps in contours.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Computer Science, 662
Release date:	March 1993
First published:	1993
Authors:	Mark Nitzberg • David Mumford • Takahiro Shiota
Dimensions:	235 x 155 x 8mm (L x W x T)
Format:	Paperback
Pages:	152
Edition:	1993 ed.
ISBN-13:	978-3-540-56484-3
Categories:	Books > Computing & IT > Computer programming > General Books > Computing & IT > Applications of computing > Signal processing Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Computing & IT > Applications of computing > Image processing > General
LSN:	3-540-56484-5
Barcode:	9783540564843

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