ENGLISH

Filtering, Segmentation and Depth

By Mark Nitzberg , David Mumford , Takahiro Shiota (auth.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
1993
ISBN
3540564845, 9783540564843
DOI
10.1007/3-540-56484-5
LCC
TA1634 .N58 1993
Open Library ID
OL1395469M
Language
english
Format
DJVU
Filesize
1 MB (1418351 bytes)
Series
Lecture Notes in Computer Science 662
Edition
1
Pages
152\154
Library
Kolxo3
DPI
600
Orientation
yes
Paginated
yes
Scanned
yes
Time added
2009-07-20 03:45:11
Image Processing and Computer Vision; Artificial I

Description

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.

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