MCFC-R: a fuzzy connectionist model for color-blindness plate recognition

Yau-Hwang Kuo, Jang Pong Hsu

研究成果: Paper

12 引文 (Scopus)

摘要

In this paper, a fuzzy connectionist model, called MCFC-R, is developed for the pattern recognition of color images. Recognition of color-blindness plates is adopted as experimental target. This model consists of a segmentation subnetwork, a recognition subnetwork, and a reconstruction process between the two subnetworks. The two subnetworks are derived from a modified connectionist fuzzy classifier model, called MCFC. Some experiments and analyses are also made in this paper. The experimental results show that the MCFC-R model has good performance on the recognition of color-blindness plates, even in a shift-variant, scale-variant, or little data-lost situation.

原文English
頁面718-723
頁數6
出版狀態Published - 1996 一月 1
事件Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4) - Washington, DC, USA
持續時間: 1996 六月 31996 六月 6

Other

OtherProceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4)
城市Washington, DC, USA
期間96-06-0396-06-06

指紋

Color vision
Molten carbonate fuel cells (MCFC)
Pattern recognition
Classifiers
Color
Experiments

All Science Journal Classification (ASJC) codes

  • Software

引用此文

Kuo, Y-H., & Hsu, J. P. (1996). MCFC-R: a fuzzy connectionist model for color-blindness plate recognition. 718-723. 論文發表於 Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4), Washington, DC, USA, .
Kuo, Yau-Hwang ; Hsu, Jang Pong. / MCFC-R : a fuzzy connectionist model for color-blindness plate recognition. 論文發表於 Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4), Washington, DC, USA, .6 p.
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abstract = "In this paper, a fuzzy connectionist model, called MCFC-R, is developed for the pattern recognition of color images. Recognition of color-blindness plates is adopted as experimental target. This model consists of a segmentation subnetwork, a recognition subnetwork, and a reconstruction process between the two subnetworks. The two subnetworks are derived from a modified connectionist fuzzy classifier model, called MCFC. Some experiments and analyses are also made in this paper. The experimental results show that the MCFC-R model has good performance on the recognition of color-blindness plates, even in a shift-variant, scale-variant, or little data-lost situation.",
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Kuo, Y-H & Hsu, JP 1996, 'MCFC-R: a fuzzy connectionist model for color-blindness plate recognition', 論文發表於 Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4), Washington, DC, USA, 96-06-03 - 96-06-06 頁 718-723.

MCFC-R : a fuzzy connectionist model for color-blindness plate recognition. / Kuo, Yau-Hwang; Hsu, Jang Pong.

1996. 718-723 論文發表於 Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4), Washington, DC, USA, .

研究成果: Paper

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Kuo Y-H, Hsu JP. MCFC-R: a fuzzy connectionist model for color-blindness plate recognition. 1996. 論文發表於 Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4), Washington, DC, USA, .