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.
| Original language | English |
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| Pages | 718-723 |
| Number of pages | 6 |
| Publication status | Published - 1996 |
| Event | Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4) - Washington, DC, USA Duration: 1996 Jun 3 → 1996 Jun 6 |
Other
| Other | Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4) |
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| City | Washington, DC, USA |
| Period | 96-06-03 → 96-06-06 |
All Science Journal Classification (ASJC) codes
- Software