publication . Part of book or chapter of book . 2013

Tensor Voting for Robust Color Edge Detection

Rodrigo Moreno;
Open Access English
  • Published: 17 Dec 2013
  • Publisher: © Springer-Verlag Berlin Heidelberg 2014
  • Country: Spain
Abstract
The final publication is available at Springer via http://dx.doi.org/10.1007/978-94-007-7584-8_9 This chapter proposes two robust color edge detection methods based on tensor voting. The first method is a direct adaptation of the classical tensor voting to color images where tensors are initialized with either the gradient or the local color structure tensor. The second method is based on an extension of tensor voting in which the encoding and voting processes are specifically tailored to robust edge detection in color images. In this case, three tensors are used to encode local CIELAB color channels and edginess, while the voting process propagates both color a...
Subjects
free text keywords: Curveness and junctionness propagation, Edge detection, Evaluation of edge detectors, Non-linear approximation, Perceptual grouping, Perceptual methods, Tensor voting, Informática, Telecomunicaciones
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