Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/103841
Type: Artigo de evento
Title: Tree-pruning: A New Algorithm And Its Comparative Analysis With The Watershed Transform For Automatic Image Segmentation
Author: Miranda P.A.V.
Rocha L.M.
Bergo F.P.G.
Falcao A.X.
Abstract: Image segmentation using tree pruning (TP) and watershed (WS) has been presented in the framework of the image forest transform (IFT)- a method to reduce image processing problems related to connectivity into an optimumpath forest problem in a graph. Given that both algorithms use the IFT with similar parameters, they usually produce similar segmentation results. However, they rely on different properties of the IFT which make TP more robust than WS for automatic segmentation tasks. We propose and demonstrate an important improvement in the TP algorithm, clarify the differences between TP and WS, and provide their comparative analysis from the theoretical and practical points of view. The experiments involve automatic segmentation of license plates in a database with 990 images. © 2006 IEEE.
Editor: 
Rights: fechado
Identifier DOI: 10.1109/SIBGRAPI.2006.44
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-34948823812&partnerID=40&md5=9daf90f36a6d2542206df6d207471743
Date Issue: 2006
Appears in Collections:Unicamp - Artigos e Outros Documentos

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