Abstract
In machine intelligence, pattern recognition plays a vital role. The capability of Grossberg's ART1 (Adaptive Resonance Theory) augmented with moment-based feature extractor to behave as a pattern recognizer/classifier of images both noisy and noise free has been investigated in this paper. The potential of ART1 based pattern recognizer to recognize patterns, monochrome and colour, noisy and noise free has been studied on two experimental problems. The first experiment concerns with monochrome imaging pertaining to recognition of satellite images, a problem discussed by Wang et al. (International Conference on Acoustics, Speech and Signal Processing, Vol. 3, San Francisco, CA, 1992, p. 145; Adaptive Fuzzy Systems and Control, Prentice-Hall, Englewood Cliffs, NJ, 1994). The second experiment concerns with colour images dealing with recognition of some sample test coloured patterns. The result of computer simulation is also presented.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
