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Neural vision sensors for surface defect detection

Malki, Suleyman LU ; Spaanenburg, Lambert LU and Ray, N (2004) 2004 IEEE International Joint Conference on Neural Networks (IJCNN) p.3155-3160
Abstract
Vision sensors are built from a camera and intelligent hardware and/or software. Steadily decreasing microelectronic costs have spawned a large number of vision sensory applications, such as surface defect detection. A constructive method for defect detection entails a mixture of mathematical and intelligent modules. Such a heterogeneous modular system can be realized in many ways. In this paper we discuss a packet-switched implementation on a macro-enriched field-programmable gate-array
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
macro-enriched field-programmable gate-array, packet-switched implementation, surface defect detection, neural vision sensors, camera, intelligent hardware, intelligent software, heterogeneous modular system, microelectronic costs reduction
host publication
2004 IEEE International Joint Conference on Neural Networks
pages
3155 - 3160
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
2004 IEEE International Joint Conference on Neural Networks (IJCNN)
conference location
Budapest, Hungary
conference dates
2004-07-25 - 2004-07-29
external identifiers
  • wos:000224941900544
  • scopus:10944253592
ISBN
0-7803-8359-1
DOI
10.1109/IJCNN.2004.1381179
language
English
LU publication?
yes
id
00a14f75-23a3-48b9-b668-52efef315ff8 (old id 614104)
date added to LUP
2007-11-29 13:31:32
date last changed
2018-11-21 21:09:16
@inproceedings{00a14f75-23a3-48b9-b668-52efef315ff8,
  abstract     = {Vision sensors are built from a camera and intelligent hardware and/or software. Steadily decreasing microelectronic costs have spawned a large number of vision sensory applications, such as surface defect detection. A constructive method for defect detection entails a mixture of mathematical and intelligent modules. Such a heterogeneous modular system can be realized in many ways. In this paper we discuss a packet-switched implementation on a macro-enriched field-programmable gate-array},
  author       = {Malki, Suleyman and Spaanenburg, Lambert and Ray, N},
  isbn         = {0-7803-8359-1},
  keyword      = {macro-enriched field-programmable gate-array,packet-switched implementation,surface defect detection,neural vision sensors,camera,intelligent hardware,intelligent software,heterogeneous modular system,microelectronic costs reduction},
  language     = {eng},
  location     = {Budapest, Hungary},
  pages        = {3155--3160},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Neural vision sensors for surface defect detection},
  url          = {http://dx.doi.org/10.1109/IJCNN.2004.1381179},
  year         = {2004},
}