Filtering, Segmentation and Depth (Paperback)

Mark Nitzberg

ISBN 10: 3540564845 / ISBN 13: 9783540564843

Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 1993

About this Item

Paperback. Computer vision seeks a process that starts with a noisy,ambiguous signal from a TV camera and ends with a high-leveldescription of discrete objects located in 3-dimensionalspace and identified in a human classification. This book addresses the process at several levels. First tobe treated are the low-level image-processing issues ofnoise removaland smoothing while preserving important linesand singularities in an image. At a slightly higher level, arobust contour tracing algorithm is described that producesa cartoon of the important lines in the image. Thirdis thehigh-level task of reconstructing the geometry of objects inthe scene. The book has two aims: to give the computer vision communitya new approach to early visual processing, in the form ofimage segmentation that incorporates occlusion at a lowlevel, and to introduce real computer algorithms that do abetter 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 producessmoothed contours rather than bitmaps,- an algorithm for filling gaps in contours. Computer vision seeks a process that starts with a noisy,ambiguous signal from a TV camera and ends with a high-leveldescription of discrete objects located in 3-dimensionalspace and identified in a human classification. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Seller Inventory # 9783540564843

Bibliographic Details

• Title: Filtering, Segmentation and Depth (Paperback)
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin
• Publication Date: 1993
• Language: English
• ISBN 10: 3540564845
• ISBN 13: 9783540564843
• Binding: Paperback
• Condition: new

About this title

Synopsis

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.