Color-blindness plate recognition using a neuro-fuzzy approach

Yau-Hwang Kuo, Jang Pong Hsu

研究成果: Article

1 引文 (Scopus)

摘要

The recognition of patterns in a colored environment is an interesting but complex problem. As a tool for testing the color-sensory ability of human eyes in a colored environment, color-blindness plates can be applied as test samples for pattern-recognition models for color images. In this research, a modified connectionist fuzzy classifier for recognition (MCFC-R) is developed for automatically recognizing patterns in color-blindness plates. The model consists of two subnetworks and a foreground image-reconstruction process between the two subnetworks. Both the subnetworks in the MCFC-R are derived from a connectionist fuzzy classifier (CFC) model, which realizes a fuzzy classification procedure in a massively parallel architecture [Kuo, Y.-H., Kao, C.I., Chen, J.-J., 1993. A fuzzy neural network model and its hardware implementation. IEEE Trans. Fuzzy Syst. 1(3), 171-183; Kuo, Y.-H., Hsu, J.-P., Kao, C.-I., 1996. MCFC: a fuzzy neural network model for speech recognition. J. Intell. Fuzzy Syst. 4, 257-268.]. The first subnetwork is responsible for the task of image segmentation based on color features. The second subnetwork is applied to the job of object recognition (numeric character recognition in this research). The reconstruction process between the two subnetworks includes image fuzzification, scanning window selection, feature extraction and foreground image decision procedures to extract the foreground image. According to the experimental results, the MCFC-R model displayed good performance in the recognition of color-blindness plates, even in a shift-variant, scale-variant or data-lost situation.

原文English
頁(從 - 到)531-547
頁數17
期刊Engineering Applications of Artificial Intelligence
11
發行號4
出版狀態Published - 1998 八月 1

指紋

Color vision
Classifiers
Fuzzy neural networks
Color
Molten carbonate fuel cells (MCFC)
Character recognition
Parallel architectures
Object recognition
Image reconstruction
Speech recognition
Image segmentation
Pattern recognition
Feature extraction
Scanning
Hardware
Testing

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

引用此文

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Color-blindness plate recognition using a neuro-fuzzy approach. / Kuo, Yau-Hwang; Hsu, Jang Pong.

於: Engineering Applications of Artificial Intelligence, 卷 11, 編號 4, 01.08.1998, p. 531-547.

研究成果: Article

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