Article View: sci.image.processing
Article #168Hardware for morphological operations
From: Mou-Yen Chen
Date: Fri, 24 Jul 1992 08:06
Date: Fri, 24 Jul 1992 08:06
39 lines
1998 bytes
1998 bytes
Hi!
We are the research group at SUNY/Buffalo. In our handwritten
word recognition system, we use a lot of morphological operations
in the pre-processing stage ( segmentation, feature extraction, etc. ).
However, they are very slow over the conventional machine. We are
considering to buy the dedicated hardware to speed up the system.
Dr. Haralick et. al. [1] mention in their paper that there are several
companies manufacture industrial vision machines which incorporate
video rate morphological operations: Machine Vision International,
Maitre, Synthetic Vision Systems, Vicom, Applied Intelligence Systems,
etc.
My questions are:
Does anybody out there have the experience on any of these products?
How does it perform? How can we contact these company?
Our requirements are:
(1) Basic morphological operations: erosion, dilation, opening and closing.
(2) Some image processing operations ( e.g. labeling ) and/or other advanced
morphological operations ( e.g. conditional dilation ) will be also
helpful.
(3) A board which can be installed on SUN's SPARC-2 ( S-Bus ) is prefered.
(4) Easy programming.
Any information is highly appreciated.
Thanks in advance.
Mou-Yen
[1] R. M. Haralick, S. R. Sternberg and X. Zhuang
"Image Analysis Using Mathematical Morphology"
IEEE Trans. on PAMI, pp. 532-550, vol. 9, no. 4, 1987
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Mou-Yen Chen e-mail: mychen@cedar.buffalo.edu
Research Assistant v064sjgt@ubvms.bitnet
CEDAR, SUNY at Buffalo
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--
Mou-Yen Chen
CEDAR, SUNY at Buffalo
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Path: arc1-ca.pugleaf.net!sparky!uunet!zaphod.mps.ohio-state.edu!ub!acsu.buffalo.edu!usenet From: mychen@acsu.buffalo.edu (Mou-Yen Chen) Newsgroups: sci.image.processing Subject: Hardware for morphological operations Message-ID: <Brvvv8.ADG@acsu.buffalo.edu> Date: 24 Jul 92 08:06:44 GMT Sender: nntp@acsu.buffalo.edu Organization: CEDAR, SUNY at Buffalo Lines: 39 Nntp-Posting-Host: kelb.cs.buffalo.edu