Automated contour detection in blood cell images by an efficient snake algorithm

G. Ongun; U. Halici; K. Leblebicioǧlu; V. Atalay; S. Beksac; M. Beksaç

doi:10.1016/S0362-546X(01)00707-6

Automated contour detection in blood cell images by an efficient snake algorithm

G. Ongun
, U. Halici
, K. Leblebicioǧlu
, V. Atalay
, S. Beksac
, M. Beksaç

Middle East Technical University

Research output: Contribution to journal › Conference article › peer-review

11 Citations (Scopus)

Abstract

The classification of white blood cells from blood cell smear images was presented. The features of the cells were extracted to achieve high classification performance. The active contour models, known as snakes and baloons, were used in detecting contours of deformable shapes. Automated contour extraction engine based on the method for initial positioning and modified snake positioning was used for experiments.

Original language	English
Pages (from-to)	5839-5847
Number of pages	9
Journal	Nonlinear Analysis, Theory, Methods and Applications
Volume	47
Issue number	9
DOIs	https://doi.org/10.1016/S0362-546X(01)00707-6
Publication status	Published - Aug 2001
Externally published	Yes
Event	Proceedings of the 3th World Congress of Nonlinear Analysts (WCNA 2000) - Catania, Italy Duration: 19 Jul 2000 → 26 Jul 2000

Keywords

Active contour models
Contour Detection
Medical images
Snakes and balloons

Access to Document

10.1016/S0362-546X(01)00707-6

Cite this

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title = "Automated contour detection in blood cell images by an efficient snake algorithm",

abstract = "The classification of white blood cells from blood cell smear images was presented. The features of the cells were extracted to achieve high classification performance. The active contour models, known as snakes and baloons, were used in detecting contours of deformable shapes. Automated contour extraction engine based on the method for initial positioning and modified snake positioning was used for experiments.",

keywords = "Active contour models, Contour Detection, Medical images, Snakes and balloons",

author = "G. Ongun and U. Halici and K. Leblebicioǧlu and V. Atalay and S. Beksac and M. Beksa{\c c}",

year = "2001",

month = aug,

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language = "English",

volume = "47",

pages = "5839--5847",

journal = "Nonlinear Analysis, Theory, Methods and Applications",

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note = "Proceedings of the 3th World Congress of Nonlinear Analysts (WCNA 2000) ; Conference date: 19-07-2000 Through 26-07-2000",

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TY - JOUR

T1 - Automated contour detection in blood cell images by an efficient snake algorithm

AU - Ongun, G.

AU - Halici, U.

AU - Leblebicioǧlu, K.

AU - Atalay, V.

AU - Beksac, S.

AU - Beksaç, M.

PY - 2001/8

Y1 - 2001/8

N2 - The classification of white blood cells from blood cell smear images was presented. The features of the cells were extracted to achieve high classification performance. The active contour models, known as snakes and baloons, were used in detecting contours of deformable shapes. Automated contour extraction engine based on the method for initial positioning and modified snake positioning was used for experiments.

AB - The classification of white blood cells from blood cell smear images was presented. The features of the cells were extracted to achieve high classification performance. The active contour models, known as snakes and baloons, were used in detecting contours of deformable shapes. Automated contour extraction engine based on the method for initial positioning and modified snake positioning was used for experiments.

KW - Active contour models

KW - Contour Detection

KW - Medical images

KW - Snakes and balloons

UR - https://www.scopus.com/pages/publications/0035415310

U2 - 10.1016/S0362-546X(01)00707-6

DO - 10.1016/S0362-546X(01)00707-6

M3 - Conference article

AN - SCOPUS:0035415310

SN - 0362-546X

VL - 47

SP - 5839

EP - 5847

JO - Nonlinear Analysis, Theory, Methods and Applications

JF - Nonlinear Analysis, Theory, Methods and Applications

IS - 9

T2 - Proceedings of the 3th World Congress of Nonlinear Analysts (WCNA 2000)

Y2 - 19 July 2000 through 26 July 2000

ER -

Automated contour detection in blood cell images by an efficient snake algorithm

Abstract

Keywords

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