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Gray-scale ALIAS

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5 Author(s)
Bock, P. ; Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., DC, USA ; Klinnert, R. ; Kober, R. ; Rovner, R.M.
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Based on the paradigm of collective learning systems, ALIAS (adaptive learning image analysis system) is an adaptive image-processing engine specifically designed to detect anomalies in otherwise normal images and signals. To accomplish this, ALIAS requires only one pass through a training set, which typically consists of less than 100 samples. The original version of ALIAS (1.0) was limited to an input domain of binary images. A gray-scale version of ALIAS (2.3) was completed in Apr. 1991. The authors present the theoretical background and technical design of ALIAS and describe two experiments with the gray-scale capability

Published in:

Knowledge and Data Engineering, IEEE Transactions on  (Volume:4 ,  Issue: 2 )

Date of Publication:

Apr 1992

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