Texture classification using structured artificial neural network

N. Y. Ko; Alex W H Lee; L. M. Cheng

Texture classification using structured artificial neural network

N. Y. Ko, Alex W H Lee, L. M. Cheng

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Abstract

The spatial gray level dependence (SGLD) method is one of classification the algorithms for image classification. In this paper, described is an alternative method, artificial neural network (ANN) to implement this algorithm. A structured artificial neural network with three subnetworks is proposed to estimate the SGLDM algorithm. The complete system is tested using glass, bark, herringbone-weave, plastic bubble and brick textures. The overall classification accuracy is over 92%.

Original language	English
Pages (from-to)	397-402
Journal	Artificial Neural Networks in Engineering - Proceedings (ANNIE'94)
Volume	4
Publication status	Published - 1994
Event	Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE'94) - St. Louis, MO, USA Duration: 13 Nov 1994 → 16 Nov 1994

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@article{71b08d8b90e943c18a574e2d0b26e1fb,

title = "Texture classification using structured artificial neural network",

abstract = "The spatial gray level dependence (SGLD) method is one of classification the algorithms for image classification. In this paper, described is an alternative method, artificial neural network (ANN) to implement this algorithm. A structured artificial neural network with three subnetworks is proposed to estimate the SGLDM algorithm. The complete system is tested using glass, bark, herringbone-weave, plastic bubble and brick textures. The overall classification accuracy is over 92%.",

author = "Ko, {N. Y.} and Lee, {Alex W H} and Cheng, {L. M.}",

year = "1994",

language = "English",

volume = "4",

pages = "397--402",

journal = "Artificial Neural Networks in Engineering - Proceedings (ANNIE'94)",

note = "Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE'94) ; Conference date: 13-11-1994 Through 16-11-1994",

}

TY - JOUR

T1 - Texture classification using structured artificial neural network

AU - Ko, N. Y.

AU - Lee, Alex W H

AU - Cheng, L. M.

PY - 1994

Y1 - 1994

N2 - The spatial gray level dependence (SGLD) method is one of classification the algorithms for image classification. In this paper, described is an alternative method, artificial neural network (ANN) to implement this algorithm. A structured artificial neural network with three subnetworks is proposed to estimate the SGLDM algorithm. The complete system is tested using glass, bark, herringbone-weave, plastic bubble and brick textures. The overall classification accuracy is over 92%.

AB - The spatial gray level dependence (SGLD) method is one of classification the algorithms for image classification. In this paper, described is an alternative method, artificial neural network (ANN) to implement this algorithm. A structured artificial neural network with three subnetworks is proposed to estimate the SGLDM algorithm. The complete system is tested using glass, bark, herringbone-weave, plastic bubble and brick textures. The overall classification accuracy is over 92%.

UR - http://www.scopus.com/inward/record.url?scp=0028747846&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0028747846&origin=recordpage

M3 - RGC 21 - Publication in refereed journal

VL - 4

SP - 397

EP - 402

JO - Artificial Neural Networks in Engineering - Proceedings (ANNIE'94)

JF - Artificial Neural Networks in Engineering - Proceedings (ANNIE'94)

T2 - Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE'94)

Y2 - 13 November 1994 through 16 November 1994

ER -

Texture classification using structured artificial neural network

Abstract

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