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  1. Wuhan University Journal of Natural Sciences
  2. Wuhan University Journal of Natural Sciences : Volume 3
  3. Wuhan University Journal of Natural Sciences : Volume 3, Issue 1, March 1998
  4. Automatic measurement of two dimensional object
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Wuhan University Journal of Natural Sciences : Volume 22
Wuhan University Journal of Natural Sciences : Volume 21
Wuhan University Journal of Natural Sciences : Volume 20
Wuhan University Journal of Natural Sciences : Volume 19
Wuhan University Journal of Natural Sciences : Volume 18
Wuhan University Journal of Natural Sciences : Volume 17
Wuhan University Journal of Natural Sciences : Volume 16
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Wuhan University Journal of Natural Sciences : Volume 3
Wuhan University Journal of Natural Sciences : Volume 3, Issue 4, December 1998
Wuhan University Journal of Natural Sciences : Volume 3, Issue 3, September 1998
Wuhan University Journal of Natural Sciences : Volume 3, Issue 2, June 1998
Wuhan University Journal of Natural Sciences : Volume 3, Issue 1, March 1998
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Automatic measurement of two dimensional object
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Wuhan University Journal of Natural Sciences : Volume 2

Automatic measurement of two dimensional object

Content Provider Springer Nature Link
Author Xiaoan, Sun Shuzhen, Chen Yaping, Chai Zhibin, Wu
Copyright Year 1998
Abstract Some core techniques related with automatic measurement of two dimensional object are discussed. Two kinds of corner point detecting methods are given. Least square fitting is used for edge line fitting. Region selection for accurate measurement is proposed. Combined with image recognition, location and macro recording file, automatic measurement of two dimensional object is realized.
Starting Page 61
Ending Page 64
Page Count 4
File Format PDF
ISSN 10071202
Journal Wuhan University Journal of Natural Sciences
Volume Number 3
Issue Number 1
e-ISSN 19934998
Language English
Publisher Wuhan University
Publisher Date 1998-01-01
Publisher Place Wuhan
Access Restriction Subscribed
Subject Keyword corner point line fitting macro recording Mathematics Computer Science Physics Life Sciences
Content Type Text
Resource Type Article
Subject Multidisciplinary
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