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The intersecting cortical model in image processing
Royal Institute of Technology.
George Mason University.
Linköping University, Department of Physics, Chemistry and Biology. Linköping University, The Institute of Technology.
Royal Institute of Technology.
2004 (English)In: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, ISSN 0168-9002, E-ISSN 1872-9576, Vol. 525, no 01-Feb, 392-396 p.Article in journal (Refereed) Published
Abstract [en]

The Intersecting Cortical Model (ICM), or ICM algorithm, is presented. It is a reduced set of equations of the Pulse-Coupled Neural Network (PCNN) model. The ICM algorithm is especially designed for enhancing features without sharp edges or straight lines in images. The ICM is tested on a series of images of an aircraft moving in the sky in order to detect its motion. The ICM algorithm is shown to be useful even when there is a deficiency in reference points. In another test, the ICM is applied to two images taken from a helicopter over a town area.

Place, publisher, year, edition, pages
2004. Vol. 525, no 01-Feb, 392-396 p.
Keyword [en]
intersecting cortical model; pulse-coupled neural network; motion detection; change detection; aircraft detection; car detection
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:liu:diva-53528DOI: 10.1016/j.nima.2004.03.102OAI: oai:DiVA.org:liu-53528DiVA: diva2:289591
Available from: 2010-01-25 Created: 2010-01-25 Last updated: 2017-12-12

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Department of Physics, Chemistry and BiologyThe Institute of Technology
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Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Medical and Health Sciences

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CiteExportLink to record
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  • apa
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  • de-DE
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  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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