A neural network approach to color image classification

M. Shinmoto; Y. Mitsukura; M. Fukumi; N. Akamatsu

doi:10.1109/ICONIP.2002.1198143

A neural network approach to color image classification

M. Shinmoto, Y. Mitsukura, M. Fukumi, N. Akamatsu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

The paper presents a method for image classification by neural networks which uses characteristic data extracted from images. In order to extract characteristic data, image pixels are divided by a clustering method on HSI 3-dimensional-color space and processed by labeling to select domains. The information extracted from the domains is characteristic data (color information, position information and area information) of the image. Another characteristic data, which is extracted by Hough transform, is added to the feature and a comparative experiment is conducted. Finally the validity of this technique is verified by means of computer simulation.

Original language	English
Title of host publication	ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing
Subtitle of host publication	Computational Intelligence for the E-Age
Editors	Lipo Wang, Kunihiko Fukushima, Jagath C. Rajapakse, Soo-Young Lee, Xin Yao
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	675-679
Number of pages	5
ISBN (Electronic)	9810475241, 9789810475246
DOIs	https://doi.org/10.1109/ICONIP.2002.1198143
Publication status	Published - 2002
Externally published	Yes
Event	9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore Duration: 2002 Nov 18 → 2002 Nov 22

Publication series

Name	ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age
Volume	2

Other

Other	9th International Conference on Neural Information Processing, ICONIP 2002
Country/Territory	Singapore
City	Singapore
Period	02/11/18 → 02/11/22

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems
Signal Processing

Access to Document

10.1109/ICONIP.2002.1198143

Cite this

Shinmoto, M., Mitsukura, Y., Fukumi, M., & Akamatsu, N. (2002). A neural network approach to color image classification. In L. Wang, K. Fukushima, J. C. Rajapakse, S-Y. Lee, & X. Yao (Eds.), ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age (pp. 675-679). [1198143] (ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age; Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICONIP.2002.1198143

A neural network approach to color image classification. / Shinmoto, M.; Mitsukura, Y.; Fukumi, M. et al.

ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. ed. / Lipo Wang; Kunihiko Fukushima; Jagath C. Rajapakse; Soo-Young Lee; Xin Yao. Institute of Electrical and Electronics Engineers Inc., 2002. p. 675-679 1198143 (ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shinmoto, M, Mitsukura, Y, Fukumi, M & Akamatsu, N 2002, A neural network approach to color image classification. in L Wang, K Fukushima, JC Rajapakse, S-Y Lee & X Yao (eds), ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age., 1198143, ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age, vol. 2, Institute of Electrical and Electronics Engineers Inc., pp. 675-679, 9th International Conference on Neural Information Processing, ICONIP 2002, Singapore, Singapore, 02/11/18. https://doi.org/10.1109/ICONIP.2002.1198143

Shinmoto M, Mitsukura Y, Fukumi M, Akamatsu N. A neural network approach to color image classification. In Wang L, Fukushima K, Rajapakse JC, Lee S-Y, Yao X, editors, ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. Institute of Electrical and Electronics Engineers Inc. 2002. p. 675-679. 1198143. (ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age). doi: 10.1109/ICONIP.2002.1198143

Shinmoto, M. ; Mitsukura, Y. ; Fukumi, M. et al. / A neural network approach to color image classification. ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. editor / Lipo Wang ; Kunihiko Fukushima ; Jagath C. Rajapakse ; Soo-Young Lee ; Xin Yao. Institute of Electrical and Electronics Engineers Inc., 2002. pp. 675-679 (ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age).

@inproceedings{b57c237ebbe34d07bec7d252fe3a7e42,

title = "A neural network approach to color image classification",

abstract = "The paper presents a method for image classification by neural networks which uses characteristic data extracted from images. In order to extract characteristic data, image pixels are divided by a clustering method on HSI 3-dimensional-color space and processed by labeling to select domains. The information extracted from the domains is characteristic data (color information, position information and area information) of the image. Another characteristic data, which is extracted by Hough transform, is added to the feature and a comparative experiment is conducted. Finally the validity of this technique is verified by means of computer simulation.",

author = "M. Shinmoto and Y. Mitsukura and M. Fukumi and N. Akamatsu",

note = "Funding Information: 1368044 This research was partially supported by the Telecommunications Advancement Foundation and Grant-in-Aid for scientific Research? (No.1368044) in MEXT. Publisher Copyright: {\textcopyright} 2002 Nanyang Technological University.; 9th International Conference on Neural Information Processing, ICONIP 2002 ; Conference date: 18-11-2002 Through 22-11-2002",

year = "2002",

doi = "10.1109/ICONIP.2002.1198143",

language = "English",

series = "ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "675--679",

editor = "Lipo Wang and Kunihiko Fukushima and Rajapakse, {Jagath C.} and Soo-Young Lee and Xin Yao",

booktitle = "ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing",

}

TY - GEN

T1 - A neural network approach to color image classification

AU - Shinmoto, M.

AU - Mitsukura, Y.

AU - Fukumi, M.

AU - Akamatsu, N.

N1 - Funding Information: 1368044 This research was partially supported by the Telecommunications Advancement Foundation and Grant-in-Aid for scientific Research? (No.1368044) in MEXT. Publisher Copyright: © 2002 Nanyang Technological University.

PY - 2002

Y1 - 2002

N2 - The paper presents a method for image classification by neural networks which uses characteristic data extracted from images. In order to extract characteristic data, image pixels are divided by a clustering method on HSI 3-dimensional-color space and processed by labeling to select domains. The information extracted from the domains is characteristic data (color information, position information and area information) of the image. Another characteristic data, which is extracted by Hough transform, is added to the feature and a comparative experiment is conducted. Finally the validity of this technique is verified by means of computer simulation.

AB - The paper presents a method for image classification by neural networks which uses characteristic data extracted from images. In order to extract characteristic data, image pixels are divided by a clustering method on HSI 3-dimensional-color space and processed by labeling to select domains. The information extracted from the domains is characteristic data (color information, position information and area information) of the image. Another characteristic data, which is extracted by Hough transform, is added to the feature and a comparative experiment is conducted. Finally the validity of this technique is verified by means of computer simulation.

UR - http://www.scopus.com/inward/record.url?scp=84964498712&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84964498712&partnerID=8YFLogxK

U2 - 10.1109/ICONIP.2002.1198143

DO - 10.1109/ICONIP.2002.1198143

M3 - Conference contribution

AN - SCOPUS:84964498712

T3 - ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age

SP - 675

EP - 679

BT - ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing

A2 - Wang, Lipo

A2 - Fukushima, Kunihiko

A2 - Rajapakse, Jagath C.

A2 - Lee, Soo-Young

A2 - Yao, Xin

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th International Conference on Neural Information Processing, ICONIP 2002

Y2 - 18 November 2002 through 22 November 2002

ER -

A neural network approach to color image classification

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this