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Automatic multilevel thresholding for image segmentation by the growing time adaptive self-organizing map

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2 Author(s)
H. Shah-Hosseini ; Comput. Eng. Dept., Amirkabir Univ. of Technol., Tehran, Iran ; R. Safabakhsh

In this paper, a Growing TASOM (Time Adaptive Self-Organizing Map) network called "GTASOM" along with a peak finding process is proposed for automatic multilevel thresholding. The proposed GTASOM is tested for image segmentation. Experimental results demonstrate that the GTASOM is a reliable and accurate tool for image segmentation and its results outperform other thresholding methods.

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:24 ,  Issue: 10 )