"Segmentation is one of the most discussed problems in image processing. Many various methods for image segmentation exist. The mean-shift method is one of them and it was widely developed in recent years and it is still being developed. In this paper, we propose a new method called Layered Mean Shift that uses multiple mean-shift segmentations with different bandwidths stacked for elimination of the over-segmentation problem and finding the most appropriate segment boundaries. This method effectively reduces the need for the use of large kernels in the mean-shift method. Therefore, it also significantly reduces the computational complexity" . . "978-3-642-38266-6" . . . "84441" . . "Layered mean shift methods" . "Lecture Notes in Computer Science. Volume 7893" . "2013-06-02+02:00"^^ . . "[85D13A75A9DF]" . . "segmentation; over-segmentation; mean shift; layer; image"@en . "Sojka, Eduard" . "Mozd\u0159e\u0148, Karel" . "Berlin" . . . "12"^^ . "Layered mean shift methods" . . . . "4"^^ . . . "Layered mean shift methods"@en . "RIV/61989100:27240/13:86088520" . . "Fusek, Radovan" . "Springer-Verlag" . "Segmentation is one of the most discussed problems in image processing. Many various methods for image segmentation exist. The mean-shift method is one of them and it was widely developed in recent years and it is still being developed. In this paper, we propose a new method called Layered Mean Shift that uses multiple mean-shift segmentations with different bandwidths stacked for elimination of the over-segmentation problem and finding the most appropriate segment boundaries. This method effectively reduces the need for the use of large kernels in the mean-shift method. Therefore, it also significantly reduces the computational complexity"@en . "\u0160urkala, Milan" . . . . "4"^^ . "10.1007/978-3-642-38267-3_39" . "Layered mean shift methods"@en . "RIV/61989100:27240/13:86088520!RIV14-MSM-27240___" . "Leibnitz" . "27240" . . "S" . . . . "0302-9743" .