Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/103833
Type: Artigo de evento
Title: Duality Between The Watershed By Image Foresting Transform And The Fuzzy Connectedness Segmentation Approaches
Author: Audigier R.
Lotufo R.
Abstract: This paper makes a rereading of two successful image segmentation approaches, the fuzzy connectedness (FC) and the watershed (WS) approaches, by analyzing both by means of the Image Foresting Transform (IFT). This graphbased transform provides a sound framework for analyzing and implementing these methods. This paradigm allows to show the duality existing between the WS by IFT and the FC segmentation approaches. Both can be modeled by an optimal forest computation in a dual form (maximization of the similarities or minimization of the dissimilarities), the main difference being the input parameters: the weights associated to each arc of the graph representing the image. In the WS approach, such weights are based on the (possibly filtered) image gradient values whereas they are based on much more complex affinity values in the FC theory. An efficient algorithm for both FC and IFT-WS computation is proposed. Segmentation robustness issue is also discussed. © 2006 IEEE.
Editor: 
Rights: fechado
Identifier DOI: 10.1109/SIBGRAPI.2006.14
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-34948874185&partnerID=40&md5=1ea86d0ba966a3c2cbbb17dddf068e68
Date Issue: 2006
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
2-s2.0-34948874185.pdf180.01 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.