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Authors: Daniel Ochoa 1 ; Sidharta Gautama 1 and Boris Vintimilla 2

Affiliations: 1 Ghent University, Belgium ; 2 ESPOL University, Ecuador

ISBN: 972-8865-40-6

ISSN: 2184-4321

Keyword(s): feature extraction, segmentation, recognition.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Feature Extraction ; Features Extraction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Segmentation and Grouping ; Signal Processing, Sensors, Systems Modeling and Control ; Statistical Approach ; Surface Geometry and Shape

Abstract: We present an approach for detection of isolated Caenohabditis Elegans nematodes in clutter environments. The method is based on shape feature histograms which describe the distribution of features of second-order derivative responses of linear image structures. The shape features are able to distinguish isolated from overlapping nematodes and clutter, thereby improving the automated image analysis of nematode populations where accurate assessment of shape is needed. An evaluation is performed on a database of manually segmented images. Shape continuity features proved to have the highest discriminative power. This is consistent with the morphological structure of this kind of organism. Our experiments suggest that similar techniques can be used for identification of other linear shaped biological objects.

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Paper citation in several formats:
Ochoa D.; Gautama S.; Vintimilla B. and (2006). DETECTION OF ISOLATED NEMATODES IN CLUTTER ENVIRONMENTS USING SHAPE FEATURE HISTOGRAMS.In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, ISBN 972-8865-40-6, pages 486-491. DOI: 10.5220/0001365504860491

@conference{visapp06,
author={Daniel Ochoa and Sidharta Gautama and Boris Vintimilla},
title={DETECTION OF ISOLATED NEMATODES IN CLUTTER ENVIRONMENTS USING SHAPE FEATURE HISTOGRAMS},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},
year={2006},
pages={486-491},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001365504860491},
isbn={972-8865-40-6},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - DETECTION OF ISOLATED NEMATODES IN CLUTTER ENVIRONMENTS USING SHAPE FEATURE HISTOGRAMS
SN - 972-8865-40-6
AU - Ochoa, D.
AU - Gautama, S.
AU - Vintimilla, B.
PY - 2006
SP - 486
EP - 491
DO - 10.5220/0001365504860491

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