Artículos de revistas
Generating segmented meshes from textured color images
Fecha
2009Registro en:
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v.20, n.3, p.190-203, 2009
1047-3203
10.1016/j.jvcir.2009.01.002
Autor
LIZIER, Mario A. S.
MARTINS JR., David C.
CUADROS-VARGAS, Alex J.
CESAR JR., Roberto M.
NONATO, Luis G.
Institución
Resumen
This paper presents a new framework for generating triangular meshes from textured color images. The proposed framework combines a texture classification technique, called W-operator, with Imesh, a method originally conceived to generate simplicial meshes from gray scale images. An extension of W-operators to handle textured color images is proposed, which employs a combination of RGB and HSV channels and Sequential Floating Forward Search guided by mean conditional entropy criterion to extract features from the training data. The W-operator is built into the local error estimation used by Imesh to choose the mesh vertices. Furthermore, the W-operator also enables to assign a label to the triangles during the mesh construction, thus allowing to obtain a segmented mesh at the end of the process. The presented results show that the combination of W-operators with Imesh gives rise to a texture classification-based triangle mesh generation framework that outperforms pixel based methods. Crown Copyright (C) 2009 Published by Elsevier Inc. All rights reserved.