Automatic Multilevel Color Image Thresholding by the Growing Time Adaptive Self Organizing Map
作者： V. Haghighatdoost , R. Safabakhsh
DOI: 10.1109/ICTTA.2006.1684653
关键词: Computer vision 、 RGB color space 、 Self-organizing map 、 Color histogram 、 Color quantization 、 Artificial intelligence 、 Color image 、 Quantization (image processing) 、 Pixel 、 Thresholding 、 Computer science
摘要: 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 distribution in three-dimensional RGB space. The mapping property of maps from high dimensional space lower grid basic idea this work. GTASOM network trained with pixel's colors input distribution. number neurons increases some criteria have good representation data Then peak finding applied on weights quantization levels automatically. experimental results show superiority proposed
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