Image Segmentation on the Spherical Coordinate Representation of the RGB Color Space

R. Moreno 1 D. M. Ramik M. Graña 2 K. Madani 3
1 LESIA - Laboratoire d'études spatiales et d'instrumentation en astrophysique
2 IPHT - Institut de Physique Théorique - UMR CNRS 3681
3 SYNAPSE
LISSI - Laboratoire Images, Signaux et Systèmes Intelligents
Abstract : This study presents an image segmentation algorithm working on the spherical coordinates of RGB colour space. The algorithm uses a hybrid chromatic distance inspired in the human vision system which shifts from the chromatic to the greyscale distance depending on the pixel's luminance value. In dark areas of the image the chromatic distance is too sensitive to image noise, so that the greyscale distance is used instead. Colour constancy properties of this segmentation approach follow from the dichromatic reflection model. The approach is strongly robust regarding highlights and dark spots and does not need illuminant source colour normalisation. The authors give results on public benchmark image databases and robot camera images. A public implementation is made available for independent test of the algorithm image segmentation results.
Keywords : Image colour analysis Image representation Image segmentation
Type de document :
Article dans une revue
IET Image Processing, Institution of Engineering and Technology, 2012, 6 (9), pp.1275-1283. 〈10.1049/iet-ipr.2011.0634〉
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https://hal.archives-ouvertes.fr/hal-01679980
Contributeur : Lab Lissi <>
Soumis le : mercredi 10 janvier 2018 - 12:24:04
Dernière modification le : vendredi 15 février 2019 - 18:08:32

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Citation

R. Moreno, D. M. Ramik, M. Graña, K. Madani. Image Segmentation on the Spherical Coordinate Representation of the RGB Color Space. IET Image Processing, Institution of Engineering and Technology, 2012, 6 (9), pp.1275-1283. 〈10.1049/iet-ipr.2011.0634〉. 〈hal-01679980〉

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