@inproceedings{a250e4bff7db4220b733df7a78c2659e,
title = "A neural architecture applied to the enhancement of noisy binary images without prior knowledge",
abstract = "The authors present the formulation of an improved neural architecture, a modified adaptive resonance theory (ART), for the enhancement of binary images in the presence of noise. The two-layer ART model developed by G. A. Carpenter and S. Grossberg (1987) is further incorporated into a four-layer network. The operation and performance of ART1 in classifying binary input patterns is first investigated. Based on ART1, a noise filtering architecture is devised whereby preestablished recognition categories are used as region or contour detection exemplars in order to fill in the gaps and smooth the contours of a noisy binary image without any prior knowledge of the image itself.",
author = "Shih, {Frank Y.} and Jenlong Moh and Henry Bourne",
year = "1990",
language = "English (US)",
isbn = "0818620846",
series = "Proc 2 Int IEEE Conf Tools Artif Intell",
publisher = "Publ by IEEE",
pages = "699--705",
booktitle = "Proc 2 Int IEEE Conf Tools Artif Intell",
note = "Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence ; Conference date: 06-11-1990 Through 09-11-1990",
}