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An iterative approach to region growing using associative memoriesRegion growing, often given as a classical example of the recursive control structures used in image processing which are often awkward to implement in hardware where the intent is the segmentation of an image at raster scan rates, is addressed in light of the postulate that any computation which can be performed recursively can be performed easily and efficiently by iteration coupled with association. Attention is given to an algorithm and hardware structure able to perform region labeling iteratively at scan rates. Every pixel is individually labeled with an identifier which signifies the region to which it belongs. Difficulties otherwise requiring recursion are handled by maintaining an equivalence table in hardware transparent to the computer, which reads the labeled pixels. A simulation of the associative memory has demonstrated its effectiveness.
Document ID
19830062738
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Snyder, W. E.
(North Carolina State Univ. Raleigh, NC, United States)
Cowart, A.
(North Carolina State University Raleigh, NC, United States)
Date Acquired
August 11, 2013
Publication Date
May 1, 1983
Publication Information
Publication: IEEE Transactions on Pattern Analysis and Machine Intelligence
Volume: PAMI-5
ISSN: 0162-8828
Subject Category
Computer Programming And Software
Accession Number
83A43956
Funding Number(s)
CONTRACT_GRANT: NSG-1535
Distribution Limits
Public
Copyright
Other

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