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Color Texture Segmentation Based on Quaternion-Gabor Features.

Authors :
Martínez-Trinidad, José Francisco
Carrasco Ochoa, Jesús Ariel
Kittler, Josef
Wang Xiao-Hui
Zhou Yue
Wang Yong-Gang
Zhu WeiWei
Source :
Progress in Pattern Recognition, Image Analysis & Applications (9783540465560); 2006, p345-353, 9p
Publication Year :
2006

Abstract

This paper proposed a new framework for color texture segmentation which integrated the color and texture features. Quaternion-Gabor filter was first introduced in this paper for color texture segmentation. The algorithm achieved color texture multichannel Gabor filtering through DRBFT and IDRBFT. And the quaternion-Gabor filter extracted the input color image's color features and texture features at the same time. The proposed method was tested using different mosaic and natural images. Despite the simplicity of the whole algorithm, the segmentation results were rather encouraging. Keywords: DRBFT, RBs, MCF, k-means. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540465560
Database :
Complementary Index
Journal :
Progress in Pattern Recognition, Image Analysis & Applications (9783540465560)
Publication Type :
Book
Accession number :
32937654
Full Text :
https://doi.org/10.1007/11892755_35