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Automatic Multilevel Color Image Thresholding by the Growing Time Adaptive Self Organizing Map

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2 Author(s)
Haghighatdoost, V. ; Dept. of Comput. Eng., Amirkabir Univ. of Technol., Tehran ; Safabakhsh, R.

This paper presents a simple but effective algorithm for color image quantization. A growing time adaptive self organizing map (GTASOM) is used to find the color distribution in the three-dimensional RGB color space. The mapping property of self organizing maps from a high dimensional space to a lower dimensional grid is the basic idea in this work. A GTASOM network is trained with the pixel's colors of the image to find the input distribution. The number of neurons is increases in this network with some criteria to have a good representation of input data distribution. Then a peak finding algorithm is applied on the network weights to find the quantization levels automatically. The experimental results show the good superiority of the proposed algorithm

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Information and Communication Technologies, 2006. ICTTA '06. 2nd  (Volume:1 )

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