loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Cindy Torres ; Alain Clément and Bertrand Vigouroux

Affiliation: Institut Universitaire de Technologie, France

ISBN: 978-989-674-029-0

Keyword(s): Color, Spatial Organization, Classification, Segmentation, Plants.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Segmentation and Grouping

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. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.87.61.215

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Torres C.; Clément A.; Vigouroux B. and (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

@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},
}

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.