Generating segmented meshes from textured color images

  • Authors:

  • Mario A. S. Lizier;David C. Martins, Jr.;Alex J. Cuadros-Vargas;Roberto M. Cesar, Jr.;Luis G. Nonato

  • Affiliations:

  • ICMC - Universidade de São Paulo, Av. Trab. São Carlense, 400, P.O. Box 668, 13560-970 São Carlos, SP, Brazil;IME - Universidade de São Paulo, Rua do Matão, 1010 - Cidade Universitária, 05508-090 São Paulo, SP, Brazil;ICMC - Universidade de São Paulo, Av. Trab. São Carlense, 400, P.O. Box 668, 13560-970 São Carlos, SP, Brazil;IME - Universidade de São Paulo, Rua do Matão, 1010 - Cidade Universitária, 05508-090 São Paulo, SP, Brazil;ICMC - Universidade de São Paulo, Av. Trab. São Carlense, 400, P.O. Box 668, 13560-970 São Carlos, SP, Brazil

  • Venue:
  • Journal of Visual Communication and Image Representation
  • Year:
  • 2009

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Abstract

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.