Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48554
Title: Analysis of relevant maxima in distance transform: an application to fast coarse image segmentation
Authors: Antón-Canalís, Luis
Hernández Tejera, Mario 
Sánchez-Nielsen, Elena
UNESCO Clasification: 1203 Ciencia de los ordenadores
Issue Date: 2007
Project: Tecnicas Para El Robustecimiento de Procesos en Vision Artificial Para la Interaccion 
Journal: Lecture Notes in Computer Science 
Conference: 3rd Iberian Conference on Pattern Recognition and Image Analysis 
3rd Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2007 
Abstract: The Distance Transform is a powerful tool that has been used in many computer vision tasks. In this paper, the use of relevant maxima in distance transform's medial axis is proposed as a method for fast image data reduction. These disc-shaped maxima include morphological information from the object they belong to, and because maxima are located inside homogeneous regions, they also sum up chromatic information from the pixels they represent. Thus, maxima can be used instead of single pixels in algorithms which compute relations among pixels, effectively reducing computation times. As an example, a fast method for color image segmentation is proposed, which can also be used for textured zones detection. Comparisons with mean shift segmentation algorithm are shown.
URI: http://hdl.handle.net/10553/48554
ISBN: 978-3-540-72846-7
ISSN: 0302-9743
DOI: 10.1007/978-3-540-72847-4_14
Source: Martí J., Benedí J.M., Mendonça A.M., Serrat J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2007. Lecture Notes in Computer Science, vol 4477. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
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