Contour Tracking in 2D Images Using Particle Filtering

Computing and Communications

Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

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Contour Tracking in 2D Images Using Particle Filtering. / Angelova, D; Konstantinova, P; Mihaylova, L.
2007. Paper presented at Proc. of the International Radar Symposium, Cologne, Germany.

Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

Harvard

Angelova, D, Konstantinova, P & Mihaylova, L 2007, 'Contour Tracking in 2D Images Using Particle Filtering', Paper presented at Proc. of the International Radar Symposium, Cologne, Germany, 5/09/07 - 7/09/07. <http://www.et2.tu-harburg.de/Veranstaltungen/IRS/2007/IRS2007Programme.html>

APA

Angelova, D., Konstantinova, P., & Mihaylova, L. (2007). Contour Tracking in 2D Images Using Particle Filtering. Paper presented at Proc. of the International Radar Symposium, Cologne, Germany. http://www.et2.tu-harburg.de/Veranstaltungen/IRS/2007/IRS2007Programme.html

Vancouver

Angelova D, Konstantinova P, Mihaylova L. Contour Tracking in 2D Images Using Particle Filtering. 2007. Paper presented at Proc. of the International Radar Symposium, Cologne, Germany.

Author

Angelova, D ; Konstantinova, P ; Mihaylova, L. / Contour Tracking in 2D Images Using Particle Filtering. Paper presented at Proc. of the International Radar Symposium, Cologne, Germany.515 p.

Bibtex

@conference{48aed65c1be443b0b629ce08528ca6bd,

title = "Contour Tracking in 2D Images Using Particle Filtering",

abstract = "A Monte Carlo algorithm for extracting contours in 2D images is proposed in this paper. A multiple model Particle Filter (PF) for progressive contour growing (tracking) from a starting point is designed, accounting for the convex, noncircular form of delineated areas. The algorithm relies on image intensity gradients as measurements and requires information about four manually selected points: the seed point, the starting point, arbitrarily selected on the contour, and two additional points, bounding the measurement formation area around the contour. The filter performance is studied by segmenting contours from series of simulated ultrasound medical images and Ground Penetrating Radar (GPR) images.",

keywords = "contour extraction, particle filtering, tracking, ultrasound images",

author = "D Angelova and P Konstantinova and L Mihaylova",

year = "2007",

month = sep,

day = "5",

language = "English",

note = "Proc. of the International Radar Symposium ; Conference date: 05-09-2007 Through 07-09-2007",

}

RIS

TY - CONF

T1 - Contour Tracking in 2D Images Using Particle Filtering

AU - Angelova, D

AU - Konstantinova, P

AU - Mihaylova, L

PY - 2007/9/5

Y1 - 2007/9/5

N2 - A Monte Carlo algorithm for extracting contours in 2D images is proposed in this paper. A multiple model Particle Filter (PF) for progressive contour growing (tracking) from a starting point is designed, accounting for the convex, noncircular form of delineated areas. The algorithm relies on image intensity gradients as measurements and requires information about four manually selected points: the seed point, the starting point, arbitrarily selected on the contour, and two additional points, bounding the measurement formation area around the contour. The filter performance is studied by segmenting contours from series of simulated ultrasound medical images and Ground Penetrating Radar (GPR) images.

AB - A Monte Carlo algorithm for extracting contours in 2D images is proposed in this paper. A multiple model Particle Filter (PF) for progressive contour growing (tracking) from a starting point is designed, accounting for the convex, noncircular form of delineated areas. The algorithm relies on image intensity gradients as measurements and requires information about four manually selected points: the seed point, the starting point, arbitrarily selected on the contour, and two additional points, bounding the measurement formation area around the contour. The filter performance is studied by segmenting contours from series of simulated ultrasound medical images and Ground Penetrating Radar (GPR) images.

KW - contour extraction

KW - particle filtering

KW - tracking

KW - ultrasound images

M3 - Conference paper

T2 - Proc. of the International Radar Symposium

Y2 - 5 September 2007 through 7 September 2007

ER -

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