Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/104273
Type: Artigo de evento
Title: Hierarchical Morphological Analysis For Generic Detection Of Shapes In Grayscale Images
Author: Silva A.G.
Lotufo R.A.
Abstract: This work proposes a generic algorithm of shape detection in a grayscale image from its Max-tree. This structure organizes different connected components in all scales of the image in a hierarchical way offering more semantic information and less elements to process in relation to the traditional grid of pixels representation. Filtering methods and recognition of shapes, such as lines, straight lines, circles, and archs, are proposed through searching nodes of interest in the tree. The run time of this method is not necessarily increasing by the number of parameters of the geometric shape. Moreover other more complexer objects (non-parameterizable) can be detected by morphological analysis. © 2007 Taylor & Francis Group.
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Rights: fechado
Identifier DOI: 
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-60749128406&partnerID=40&md5=4d450ec306e17cd850c1666bf34171ec
Date Issue: 2007
Appears in Collections:Unicamp - Artigos e Outros Documentos

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