Structure tensor of colour quaternion image representations for invariant feature extraction

Abstract : Colour image representation using real quaternions has shown to be very useful for linear and morphological colour filtering. This paper deals with the extension of first derivatives-based structure tensor for various quaternionic colour image representations. Classical corner and edge features are obtained from eigenvalues of the quaternionic colour structure tensors. We study the properties of invariance of the quaternion colour spatial derivatives and their robustness for feature extraction on practical examples.
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Communication dans un congrès
Second International Workshop on Computational Color Imaging, CCIW 2009, Mar 2009, Saint-Étienne, France. Springer, 5646, pp.91-100, 2009, Lecture Notes in Computer Science. 〈10.1007/978-3-642-03265-3_10〉
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https://hal-mines-paristech.archives-ouvertes.fr/hal-00834163
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Soumis le : vendredi 14 juin 2013 - 12:26:01
Dernière modification le : vendredi 27 octobre 2017 - 17:36:02

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Jesus Angulo. Structure tensor of colour quaternion image representations for invariant feature extraction. Second International Workshop on Computational Color Imaging, CCIW 2009, Mar 2009, Saint-Étienne, France. Springer, 5646, pp.91-100, 2009, Lecture Notes in Computer Science. 〈10.1007/978-3-642-03265-3_10〉. 〈hal-00834163〉

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