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The intersecting cortical model in image processing
KTH, Superseded Departments, Physics.
KTH, Superseded Departments, Physics.
KTH, Superseded Departments, Physics.
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 1-2, 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 1-2, 392-396 p.
Keyword [en]
intersecting cortical model, pulse-coupled neural network, motion detection, change detection, aircraft detection, car detection
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:kth:diva-43736DOI: 10.1016/j.nima.2004.03.102ISI: 000221974600077Scopus ID: 2-s2.0-3342993463OAI: oai:DiVA.org:kth-43736DiVA: diva2:450315
Note
QC 20111020. International Conference on Imaging Techniques in Subatomic Physics, Astrophysics, Medicine, Biology and Industry. Stockholm, SWEDEN. JUN 24-27, 2003 Available from: 2011-10-20 Created: 2011-10-18 Last updated: 2017-12-08Bibliographically approved

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