Neural vision sensors for surface defect detection
(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:
https://lup.lub.lu.se/record/614104
- author
- Malki, Suleyman LU ; Spaanenburg, Lambert LU and Ray, N
- organization
- publishing date
- 2004
- 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
- 2016-04-04 12:09:00
- date last changed
- 2022-01-29 22:58:06
@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}}, booktitle = {{2004 IEEE International Joint Conference on Neural Networks}}, isbn = {{0-7803-8359-1}}, 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}}, language = {{eng}}, 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}}, doi = {{10.1109/IJCNN.2004.1381179}}, year = {{2004}}, }