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عنوان
Filtering, segmentation, and depth

پدید آورنده
M. Nitzberg, D. Mumford, T. Shiota.

موضوع
Computer vision.,Digital filters (Mathematics),Image processing -- Digital techniques.

رده
TA1634
.
M558
1993

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
3540475702
(Number (ISBN
9783540475705

NATIONAL BIBLIOGRAPHY NUMBER

Number
b566222

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Filtering, segmentation, and depth
General Material Designation
[Book]
First Statement of Responsibility
M. Nitzberg, D. Mumford, T. Shiota.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Berlin ; New York
Name of Publisher, Distributor, etc.
Springer-Verlag
Date of Publication, Distribution, etc.
©1993.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
(vi, 143 pages) : illustrations

SERIES

Series Title
Lecture notes in computer science, 662.

CONTENTS NOTE

Text of Note
Overview.- Filtering for occlusion detection.- Finding contours and junctions.- Continuations.- Finding the 2.1D sketch.- Conclusion.

SUMMARY OR ABSTRACT

Text of Note
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.

TOPICAL NAME USED AS SUBJECT

Computer vision.
Digital filters (Mathematics)
Image processing -- Digital techniques.

LIBRARY OF CONGRESS CLASSIFICATION

Class number
TA1634
Book number
.
M558
1993

PERSONAL NAME - PRIMARY RESPONSIBILITY

M. Nitzberg, D. Mumford, T. Shiota.

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

David Mumford
M Nitzberg
Takahiro Shiota

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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