Presentation 2002/11/4
Detection of local image changes using multi-potential method, simulating the NGF induced nerve growth process.
Kazuyuki KUDO, Yuri NOJIMA, Kuniaki UTO, Yukio KOSUGI,
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Abstract(in English) When we detect image changes by comparing different images which observed at different time or on diffenrt conditions, we can get useful information. These works require nonlinear mapping which expands and reduces an image adaptively for another image. In this paper, we propose the multi-potential method that simulates the NGF induced nerve nerve growth process in the brain. The multi-potential method makes potentials at every attribute on destination image, and make small area on the original image moved along potential gradient. We have conducted experiments with the proposed method for the detection of local image changes on brain's MRI and geographic images.
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Keyword(in English) nonlinear mapping / multi-potential method / weighted-consensus / change detection
Paper # NC2002-74
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Committee NC
Conference Date 2002/11/4(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Detection of local image changes using multi-potential method, simulating the NGF induced nerve growth process.
Sub Title (in English)
Keyword(1) nonlinear mapping
Keyword(2) multi-potential method
Keyword(3) weighted-consensus
Keyword(4) change detection
1st Author's Name Kazuyuki KUDO
1st Author's Affiliation Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology()
2nd Author's Name Yuri NOJIMA
2nd Author's Affiliation Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
3rd Author's Name Kuniaki UTO
3rd Author's Affiliation Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
4th Author's Name Yukio KOSUGI
4th Author's Affiliation Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
Date 2002/11/4
Paper # NC2002-74
Volume (vol) vol.102
Number (no) 430
Page pp.pp.-
#Pages 6
Date of Issue