SEGMENTING COLOR IMAGE OF PLANTS WITH A SPATIO-COLORIMETRIC APPROACH

Cindy Torres, Alain Clément, Bertrand Vigouroux

2010

Abstract

An unsupervised vectorial segmentation method using both spatial and color information is presented. To overcome the problem of memory space, this method is based on a multidimensional compact histogram and an original compact spatial neighborhood probability matrix (SNPM). The multidimensional compact histogram allows a drastic reduction of memory space without any data loss. Leaning upon the compact histogram, a SNPM has been computed. It contains all non-negative probabilities of spatial connectivity between pixel colors. In an unsupervised histogram analysis classification process, two phases are classically distinguished: (i) a learning process during which histogram modes are identified and (ii) a second step called the decision step in which a full partition of the colorimetric space is carried out according the previously defined classes. During the second step of a standard colorimetric approach, a colorimetric distance like Euclidean or Mahalanobis is used. We insert here a spatio-colorimetric distance defined as a weighed mixture between a colorimetric distance and the spatial distance calculated from the SNPM. The vectorial classification method is based on previously presented principles, achieving a hierarchical analysis of the color histogram by means of a 3D-connected components labeling. Results are applied to color images of plants to separate plantlets and loam.

Paper Citation

in Harvard Style

Torres C., Clément A. and Vigouroux B. (2010). SEGMENTING COLOR IMAGE OF PLANTS WITH A SPATIO-COLORIMETRIC APPROACH . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 191-196. DOI: 10.5220/0002835101910196

in Bibtex Style

@conference{visapp10,
author={Cindy Torres and Alain Clément and Bertrand Vigouroux},
title={SEGMENTING COLOR IMAGE OF PLANTS WITH A SPATIO-COLORIMETRIC APPROACH},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={191-196},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002835101910196},
isbn={978-989-674-029-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - SEGMENTING COLOR IMAGE OF PLANTS WITH A SPATIO-COLORIMETRIC APPROACH
SN - 978-989-674-029-0
AU - Torres C.
AU - Clément A.
AU - Vigouroux B.
PY - 2010
SP - 191
EP - 196
DO - 10.5220/0002835101910196