publication . Part of book or chapter of book . 2014

Tensor voting for robust color edge detection

Rodrigo Moreno; Miguel Angel Garcia; Domenec Puig;
Open Access English
  • Published: 01 Jan 2014
  • Publisher: © Springer-Verlag Berlin Heidelberg 2014
  • Country: Spain
The final publication is available at Springer via 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...
Persistent Identifiers
free text keywords: Curveness and junctionness propagation, Edge detection, Evaluation of edge detectors, Non-linear approximation, Perceptual grouping, Perceptual methods, Tensor voting, Informática, Telecomunicaciones, Voting, media_common.quotation_subject, media_common, Channel (digital image), Computer vision, Artificial intelligence, business.industry, business, False alarm, Pattern recognition, Mathematics, Robustness (computer science), Local color, Tensor, Structure tensor
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