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

Author

Kuo, Yau-Hwang ; Hsu, Jang-Pong

Author_Institution

Inst. of Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

Volume

2

fYear

1996

fDate

3-6 Jun 1996

Firstpage

718

Abstract

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

Keywords

colour vision; fuzzy neural nets; image colour analysis; image recognition; image reconstruction; image segmentation; neurophysiology; physiological models; vision defects; MCFC-R; color image pattern recognition; color-blindness plate recognition; fuzzy connectionist model; little data-lost situation; recognition subnetwork; reconstruction process; scale-variant situation; segmentation subnetwork; shift-variant situation; Character recognition; Color; Euclidean distance; Humans; Image reconstruction; Image segmentation; Object recognition; Pattern recognition; Target recognition; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1996., IEEE International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-7803-3210-5

Type

conf

DOI

10.1109/ICNN.1996.548984

Filename

548984