Automatic Multilevel Thresholding for Image Segmentation by the Growing Time Adaptive Self-Organizing Map

Authors:
Hamed Shah-Hosseini;Reza Safabakhsh
Affiliations:
-;-
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
2002

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Abstract

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.