Automatic multilevel thresholding for image segmentation by the growing time adaptive self-organizing map
Hamed Shah Hosseini, Reza Safabakhsh · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2002
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.