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Author: D. M. Murashov

Affiliation: Computing Centre of the Russian Academy of Sciences, Russian Federation

Keyword(s): Segmentation technique, active contour, dynamic system, height ridges, wave equation, cytological images.

Abstract: Automated snake-based combined technique for segmenting cytological images is proposed. The main features of the technique are: implementation of the wave propagation model and modified Gaussian filter based on the heat equation with heat source, availability of coarse and precise levels of contour approximation, automated snake initiation. The technique is successfully implemented for segmenting cytological specimen images.

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Paper citation in several formats:
M. Murashov, D. (2007). AUTOMATED COMBINED TECHNIQUE FOR SEGMENTING CYTOLOGICAL SPECIMEN IMAGES. In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Mathematical and Linguistic Techniques for Image Mining, (VISAPP 2007) ISBN 978-972-8865-75-7; ISSN 2184-4321, pages 238-245. DOI: 10.5220/0002071402380245

@conference{mathematical and linguistic techniques for image mining07,
author={D. {M. Murashov}.},
title={AUTOMATED COMBINED TECHNIQUE FOR SEGMENTING CYTOLOGICAL SPECIMEN IMAGES},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Mathematical and Linguistic Techniques for Image Mining, (VISAPP 2007)},
year={2007},
pages={238-245},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002071402380245},
isbn={978-972-8865-75-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Mathematical and Linguistic Techniques for Image Mining, (VISAPP 2007)
TI - AUTOMATED COMBINED TECHNIQUE FOR SEGMENTING CYTOLOGICAL SPECIMEN IMAGES
SN - 978-972-8865-75-7
IS - 2184-4321
AU - M. Murashov, D.
PY - 2007
SP - 238
EP - 245
DO - 10.5220/0002071402380245