On Color Texture Generating Based on Simplified KIII Model

Hans Liljenström; Jian-zhou Chen; Chen Fang; Jin Zhang; Li-juan Zhao

doi:10.1109/ICIS.2009.179

On Color Texture Generating Based on Simplified KIII Model

Hans Liljenström
, Jian-zhou Chen
, Chen Fang
, Jin Zhang
, Li-juan Zhao

Institutionen för energi och teknik

Publikation: Konferensbidrag › Konferensartikel (ej i proceedings) › Peer review

Sammanfattning

KIII model is an olfactory neural networks bionic model proposed by Walter J. Freeman. Its architecture simulates that of olfactory neural system, which is different from other artificial neural networks. Through simplifying KIII model, a color texture generating algorithm is proposed combining with RGB. In RGB space, the tricolor of each pixel (red, green and blue) is used as the model input and the model output is composed as the tricolor of corresponding pixel in generated texture image. Experimental results show that simplified KIII model can generate beautiful color texture images.

Originalspråk	Engelska
Sidor	93-+
Antal sidor	2
DOI	https://doi.org/10.1109/ICIS.2009.179
Status	Publicerad - 2009
Evenemang	IEEE/ACIS International Conference on Computer and Information Science (icis 2009) - Shanghai, CHina Varaktighet: 1 jan. 2009 → …

Konferens

Konferens	IEEE/ACIS International Conference on Computer and Information Science (icis 2009)
Ort	Shanghai, CHina
Period	2009-01-01 → …

Nyckelord

artificial neural networks
olfactory model
color texture
RGB

Åtkomst av dokument

10.1109/ICIS.2009.179

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@conference{8519dd6a6a77467e88db02a0dd68ebab,

title = "On Color Texture Generating Based on Simplified KIII Model",

abstract = "KIII model is an olfactory neural networks bionic model proposed by Walter J. Freeman. Its architecture simulates that of olfactory neural system, which is different from other artificial neural networks. Through simplifying KIII model, a color texture generating algorithm is proposed combining with RGB. In RGB space, the tricolor of each pixel (red, green and blue) is used as the model input and the model output is composed as the tricolor of corresponding pixel in generated texture image. Experimental results show that simplified KIII model can generate beautiful color texture images.",

keywords = "artificial neural networks, olfactory model, color texture, RGB, artificial neural networks, olfactory model, color texture, RGB",

author = "Hans Liljenstr{\"o}m and Jian-zhou Chen and Chen Fang and Jin Zhang and Li-juan Zhao",

year = "2009",

doi = "10.1109/ICIS.2009.179",

language = "English",

pages = "93--+",

note = "IEEE/ACIS International Conference on Computer and Information Science (icis 2009) ; Conference date: 01-01-2009",

}

TY - CONF

T1 - On Color Texture Generating Based on Simplified KIII Model

AU - Liljenström, Hans

AU - Chen, Jian-zhou

AU - Fang, Chen

AU - Zhang, Jin

AU - Zhao, Li-juan

PY - 2009

Y1 - 2009

N2 - KIII model is an olfactory neural networks bionic model proposed by Walter J. Freeman. Its architecture simulates that of olfactory neural system, which is different from other artificial neural networks. Through simplifying KIII model, a color texture generating algorithm is proposed combining with RGB. In RGB space, the tricolor of each pixel (red, green and blue) is used as the model input and the model output is composed as the tricolor of corresponding pixel in generated texture image. Experimental results show that simplified KIII model can generate beautiful color texture images.

AB - KIII model is an olfactory neural networks bionic model proposed by Walter J. Freeman. Its architecture simulates that of olfactory neural system, which is different from other artificial neural networks. Through simplifying KIII model, a color texture generating algorithm is proposed combining with RGB. In RGB space, the tricolor of each pixel (red, green and blue) is used as the model input and the model output is composed as the tricolor of corresponding pixel in generated texture image. Experimental results show that simplified KIII model can generate beautiful color texture images.

KW - artificial neural networks

KW - olfactory model

KW - color texture

KW - RGB

KW - artificial neural networks

KW - olfactory model

KW - color texture

KW - RGB

UR - https://res.slu.se/id/publ/28596

U2 - 10.1109/ICIS.2009.179

DO - 10.1109/ICIS.2009.179

M3 - Conference paper (not in proceedings)

SP - 93-+

T2 - IEEE/ACIS International Conference on Computer and Information Science (icis 2009)

Y2 - 1 January 2009

ER -