DocumentCode :
1121234
Title :
Extracting Compact Objects Using Linked Pyramids
Author :
Hong, T.H. ; Shneier, M.
Author_Institution :
Center for Automation Research, University of Maryland, College Park, MD 20742; National Bureau of Standards, Washington, DC 20234.
Issue :
2
fYear :
1984
fDate :
3/1/1984 12:00:00 AM
Firstpage :
229
Lastpage :
237
Abstract :
This correspondence describes a method of extracting compact regions from images using three multiresolution (``pyramid´´) representations of image features. The method makes use of a gray-level pyramid in which linking of similar nodes at successive levels smooths the image into uniform regions; an edge pyramid in which linking of similarly oriented edge elements serves to delineate the boundaries of the detected regions; and a ``surroundedness´´ pyramid in which pixels surrounded by edges are detected.
Keywords :
Automation; Detectors; Image edge detection; Image resolution; Image segmentation; Joining processes; NIST; Object detection; Pixel; Shape; Compact region extraction; image pyramids; multiresolution methods; segmentation; surroundedness;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.1984.4767506
Filename :
4767506
Link To Document :
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