"Classification, image segmentation, interactive tool, IMMI, RapidMiner"@en . . "Heidelberg" . . "510"^^ . "3"^^ . . "IMMI: Interactive Segmentation Toolkit"@en . . . . "IMMI: Interactive Segmentation Toolkit" . "2013-09-13+02:00"^^ . "Halkidiki" . . "10.1007/978-3-642-41013-0_39" . "IMMI: Interactive Segmentation Toolkit"@en . "[999D4AE38D90]" . "General image segmentation is a non\u2013trivial task, which requires significant computational power and huge amount of knowledge incorporated. Fortunately, it is not necessary in all the cases. In some specific cases, simpler non\u2013supervised or supervised segmentation methods can be used giving even better results. In this paper, a novel trainable segmentation method based on RapidMiner data\u2013mining platform is introduced, and its functionality is described. The method implementation was released under open\u2013source license as a part of IMMI (IMage MIning) extension of the RapidMiner platform. When compared to other trainable segmentation algorithms, the platform provides flexibility connected with all the features of one of the most widely used data\u2013mining platform today. The functionality has been verified on the satellite image use\u2013case, accuracy achieving 78.3% pixel error."@en . "978-3-642-41012-3" . . "Uher, V\u00E1clav" . . "P(FR-TI4/151), S" . "26220" . . "Ma\u0161ek, Jan" . "Burget, Radim" . . . "IMMI: Interactive Segmentation Toolkit" . "RIV/00216305:26220/13:PU104757!RIV14-MPO-26220___" . . . . . . . . . "Engineering Applications of Neural Networks" . . "78893" . . "3"^^ . "Springer-Verlag. (Berlin; Heidelberg)" . "General image segmentation is a non\u2013trivial task, which requires significant computational power and huge amount of knowledge incorporated. Fortunately, it is not necessary in all the cases. In some specific cases, simpler non\u2013supervised or supervised segmentation methods can be used giving even better results. In this paper, a novel trainable segmentation method based on RapidMiner data\u2013mining platform is introduced, and its functionality is described. The method implementation was released under open\u2013source license as a part of IMMI (IMage MIning) extension of the RapidMiner platform. When compared to other trainable segmentation algorithms, the platform provides flexibility connected with all the features of one of the most widely used data\u2013mining platform today. The functionality has been verified on the satellite image use\u2013case, accuracy achieving 78.3% pixel error." . "RIV/00216305:26220/13:PU104757" .