Generating segmented meshes from textured color images

Author(s)

Lizier, Mario A. S. ^[1] ; Martins, Jr., David C. ^[2] ; Cuadros-Vargas, Alex J. ^[1] ; Cesar, Jr., Roberto M. ^[2] ; Nonato, Luis G. ^[1]

Affiliation

^[1] Univ Sao Paulo, ICMC, BR-13560970 Sao Carlos, SP - Brazil

^[2] Univ Sao Paulo, IME, BR-05508090 Sao Paulo - Brazil

• Document type: Journal article
• Source: JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION; v. 20, n. 3, p. 190-203, APR 2009.
• Web of Science Citations: 3

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. Crown Copyright (C) 2009 Published by Elsevier Inc. All rights reserved. (AU)

• FAPESP's process: 08/03349-6 - Geometry processing in simplicial meshes
• Grantee: Luis Gustavo Nonato
• Support Opportunities: Scholarships abroad - New Frontiers