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Communication Dans Un Congrès Année : 2012

Eigen combination of color and texture informations for image segmentation

Résumé

In this paper, we present a new combination of colour and texture informations for image segmentation. This technique is based on principal components analysis of a 3D points cloud, followed by an eigenvalues analysis. A set of colour gradients (morphological, Di-Zenzo) and texture gradients (Gabor, three Haralick attributes, Alternative Se- quential Filter (ASF)) are used to test the proposed combination. The segmentation is performed using a hybrid gradient based watershed algorithm. The major contribution of this work consists in combining locally colour and texture informations using an adaptive and non parametric approach. The proposed method is tested on 100 images from the Berkley dataset and evaluated with the Mean Square Error (MSE), the Vari- ation of Information (VI) and the Probabilistic Rand Index (PRI).
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Dates et versions

hal-01250715 , version 1 (05-01-2016)

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  • HAL Id : hal-01250715 , version 1

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Dhouha Attia, Cyril Meurie, Yassine Ruichek. Eigen combination of color and texture informations for image segmentation. 5th International Conference, ICISP 2012, International Conference on Image and Signal Processing, Jun 2012, Agadir, Morocco. p415-423. ⟨hal-01250715⟩
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