Classification of rice grain using new scale invariant Zernike moments

Wee Chong Yaw; P. Raveendran; Fumiaki Takeda; Takeo Tsuzuki; Hiroshi Kadota; Satoshi Shimanouchi

Classification of rice grain using new scale invariant Zernike moments

Wee Chong Yaw
, P. Raveendran
, Fumiaki Takeda
, Takeo Tsuzuki
, Hiroshi Kadota
, Satoshi Shimanouchi

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Abstract

The effectiveness of invariant Zernike moments for classifying rice grain is discussed. Neural network (NN) is used to classify the rice grain from its invariant Zernike features. The rice sorting system using invariant Zernike features and neural network has higher efficiency and recognition ability. The rice sorter consists of a shute, inspection part, feature extraction part, recognition part and an air gun. The image of falling rice grains is captured by line-sensor and stored in 24-bit bitmap format.

Original language	English
Title of host publication	Proceedings of the 6th Joint Conference on Information Sciences, JCIS 2002
Editors	J.H. Caulfield, S.H. Chen, H.D. Cheng, R. Duro, J.H. Caufield, S.H. Chen, H.D. Cheng, R. Duro, V. Honavar
Pages	832-835
Number of pages	4
Publication status	Published - 2002
Externally published	Yes
Event	Joint Conference on Information Sciences 2002 - Research Triange Park, United States of America Duration: 8 Mar 2002 → 13 Mar 2002 Conference number: 6th

Publication series

Name	Proceedings of the Joint Conference on Information Sciences
Volume	6

Conference

Conference	Joint Conference on Information Sciences 2002
Abbreviated title	JCIS 2002
Country/Territory	United States of America
City	Research Triange Park
Period	8/03/02 → 13/03/02

Cite this

Yaw, W. C., Raveendran, P., Takeda, F., Tsuzuki, T., Kadota, H., & Shimanouchi, S. (2002). Classification of rice grain using new scale invariant Zernike moments. In J. H. Caulfield, S. H. Chen, H. D. Cheng, R. Duro, J. H. Caufield, S. H. Chen, H. D. Cheng, R. Duro, & V. Honavar (Eds.), Proceedings of the 6th Joint Conference on Information Sciences, JCIS 2002 (pp. 832-835). (Proceedings of the Joint Conference on Information Sciences; Vol. 6).

Yaw, Wee Chong ; Raveendran, P. ; Takeda, Fumiaki et al. / Classification of rice grain using new scale invariant Zernike moments. Proceedings of the 6th Joint Conference on Information Sciences, JCIS 2002. editor / J.H. Caulfield ; S.H. Chen ; H.D. Cheng ; R. Duro ; J.H. Caufield ; S.H. Chen ; H.D. Cheng ; R. Duro ; V. Honavar. 2002. pp. 832-835 (Proceedings of the Joint Conference on Information Sciences).

@inproceedings{0384b21335d84beea7d929b434f40ea2,

title = "Classification of rice grain using new scale invariant Zernike moments",

abstract = "The effectiveness of invariant Zernike moments for classifying rice grain is discussed. Neural network (NN) is used to classify the rice grain from its invariant Zernike features. The rice sorting system using invariant Zernike features and neural network has higher efficiency and recognition ability. The rice sorter consists of a shute, inspection part, feature extraction part, recognition part and an air gun. The image of falling rice grains is captured by line-sensor and stored in 24-bit bitmap format.",

author = "Yaw, \{Wee Chong\} and P. Raveendran and Fumiaki Takeda and Takeo Tsuzuki and Hiroshi Kadota and Satoshi Shimanouchi",

year = "2002",

language = "English",

isbn = "0970789017",

series = "Proceedings of the Joint Conference on Information Sciences",

pages = "832--835",

editor = "J.H. Caulfield and S.H. Chen and H.D. Cheng and R. Duro and J.H. Caufield and S.H. Chen and H.D. Cheng and R. Duro and V. Honavar",

booktitle = "Proceedings of the 6th Joint Conference on Information Sciences, JCIS 2002",

note = "Joint Conference on Information Sciences 2002, JCIS 2002 ; Conference date: 08-03-2002 Through 13-03-2002",

}

Yaw, WC, Raveendran, P, Takeda, F, Tsuzuki, T, Kadota, H & Shimanouchi, S 2002, Classification of rice grain using new scale invariant Zernike moments. in JH Caulfield, SH Chen, HD Cheng, R Duro, JH Caufield, SH Chen, HD Cheng, R Duro & V Honavar (eds), Proceedings of the 6th Joint Conference on Information Sciences, JCIS 2002. Proceedings of the Joint Conference on Information Sciences, vol. 6, pp. 832-835, Joint Conference on Information Sciences 2002, Research Triange Park, North Carolina, United States of America, 8/03/02.

Classification of rice grain using new scale invariant Zernike moments. / Yaw, Wee Chong; Raveendran, P.; Takeda, Fumiaki et al.
Proceedings of the 6th Joint Conference on Information Sciences, JCIS 2002. ed. / J.H. Caulfield; S.H. Chen; H.D. Cheng; R. Duro; J.H. Caufield; S.H. Chen; H.D. Cheng; R. Duro; V. Honavar. 2002. p. 832-835 (Proceedings of the Joint Conference on Information Sciences; Vol. 6).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Classification of rice grain using new scale invariant Zernike moments

AU - Yaw, Wee Chong

AU - Raveendran, P.

AU - Takeda, Fumiaki

AU - Tsuzuki, Takeo

AU - Kadota, Hiroshi

AU - Shimanouchi, Satoshi

N1 - Conference code: 6th

PY - 2002

Y1 - 2002

N2 - The effectiveness of invariant Zernike moments for classifying rice grain is discussed. Neural network (NN) is used to classify the rice grain from its invariant Zernike features. The rice sorting system using invariant Zernike features and neural network has higher efficiency and recognition ability. The rice sorter consists of a shute, inspection part, feature extraction part, recognition part and an air gun. The image of falling rice grains is captured by line-sensor and stored in 24-bit bitmap format.

AB - The effectiveness of invariant Zernike moments for classifying rice grain is discussed. Neural network (NN) is used to classify the rice grain from its invariant Zernike features. The rice sorting system using invariant Zernike features and neural network has higher efficiency and recognition ability. The rice sorter consists of a shute, inspection part, feature extraction part, recognition part and an air gun. The image of falling rice grains is captured by line-sensor and stored in 24-bit bitmap format.

UR - https://www.scopus.com/pages/publications/1642274551

M3 - Conference Paper

AN - SCOPUS:1642274551

SN - 0970789017

T3 - Proceedings of the Joint Conference on Information Sciences

SP - 832

EP - 835

BT - Proceedings of the 6th Joint Conference on Information Sciences, JCIS 2002

A2 - Caulfield, J.H.

A2 - Chen, S.H.

A2 - Cheng, H.D.

A2 - Duro, R.

A2 - Caufield, J.H.

A2 - Chen, S.H.

A2 - Cheng, H.D.

A2 - Duro, R.

A2 - Honavar, V.

T2 - Joint Conference on Information Sciences 2002

Y2 - 8 March 2002 through 13 March 2002

ER -

Yaw WC, Raveendran P, Takeda F, Tsuzuki T, Kadota H, Shimanouchi S. Classification of rice grain using new scale invariant Zernike moments. In Caulfield JH, Chen SH, Cheng HD, Duro R, Caufield JH, Chen SH, Cheng HD, Duro R, Honavar V, editors, Proceedings of the 6th Joint Conference on Information Sciences, JCIS 2002. 2002. p. 832-835. (Proceedings of the Joint Conference on Information Sciences).

Classification of rice grain using new scale invariant Zernike moments

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