Active Contour Image Segmentation in Fisher Discriminant Spaces

Ashoka Jayawardena; Paul H Kwan

Active Contour Image Segmentation in Fisher Discriminant Spaces

Ashoka Jayawardena, Paul H Kwan

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, we introduce an algorithm that is able to segment objects in natural images by using active contours. Active contours are used to regularize the segmentations. Our approach utilizes multiple feature spaces to capture as much information as possible, followed by projecting the multiple dimensional features space onto a single dimension to enable improved active contour evolution. We apply the Fisher Linear Discriminant Analysis (FLDA) to optimally calculate the projection vector while providing prior knowledge on number of clusters that are present on the image. Preliminary experiments confirm that the proposed algorithm is able to segment objects in natural images while optimizing contour smoothness and noises.

Original language	English
Title of host publication	Proceedings of the 2011 Image and Vision Computing New Zealand Conference (IVCNZ)
Editors	Patrice Delmas, Burkhard Wuensche, Jason James
Place of Publication	New Zealand
Publisher	Image and Vision Computing New Zealand
Pages	483-487
ISBN (Print)	9780473202811, 9780473202835, 9780473202828
Publication status	Published - 2011
Event	IVCNZ 2011: 26th International Conference Image and Vision Computing New Zealand - Auckland, New Zealand Duration: 29 Nov 2011 → 1 Dec 2011

Conference

Conference	IVCNZ 2011: 26th International Conference Image and Vision Computing New Zealand
City	Auckland, New Zealand
Period	29/11/11 → 1/12/11

Keywords

Pattern Recognition and Data Mining
Computer Vision
Image Processing

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https://hdl.handle.net/1959.11/9752

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@inproceedings{34cdfcb7a3354ce8a78fd35f64a987ac,

title = "Active Contour Image Segmentation in Fisher Discriminant Spaces",

abstract = "In this paper, we introduce an algorithm that is able to segment objects in natural images by using active contours. Active contours are used to regularize the segmentations. Our approach utilizes multiple feature spaces to capture as much information as possible, followed by projecting the multiple dimensional features space onto a single dimension to enable improved active contour evolution. We apply the Fisher Linear Discriminant Analysis (FLDA) to optimally calculate the projection vector while providing prior knowledge on number of clusters that are present on the image. Preliminary experiments confirm that the proposed algorithm is able to segment objects in natural images while optimizing contour smoothness and noises.",

keywords = "Pattern Recognition and Data Mining, Computer Vision, Image Processing",

author = "Ashoka Jayawardena and Kwan, \{Paul H\}",

year = "2011",

language = "English",

isbn = "9780473202811",

pages = "483--487",

editor = "Patrice Delmas and Burkhard Wuensche and Jason James",

booktitle = "Proceedings of the 2011 Image and Vision Computing New Zealand Conference (IVCNZ)",

publisher = "Image and Vision Computing New Zealand",

note = "IVCNZ 2011: 26th International Conference Image and Vision Computing New Zealand ; Conference date: 29-11-2011 Through 01-12-2011",

}

Jayawardena, A & Kwan, PH 2011, Active Contour Image Segmentation in Fisher Discriminant Spaces. in P Delmas, B Wuensche & J James (eds), Proceedings of the 2011 Image and Vision Computing New Zealand Conference (IVCNZ). Image and Vision Computing New Zealand, New Zealand, pp. 483-487, IVCNZ 2011: 26th International Conference Image and Vision Computing New Zealand, Auckland, New Zealand, 29/11/11. <https://hdl.handle.net/1959.11/9752>

Active Contour Image Segmentation in Fisher Discriminant Spaces. / Jayawardena, Ashoka; Kwan, Paul H.
Proceedings of the 2011 Image and Vision Computing New Zealand Conference (IVCNZ). ed. / Patrice Delmas; Burkhard Wuensche; Jason James. New Zealand: Image and Vision Computing New Zealand, 2011. p. 483-487.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Active Contour Image Segmentation in Fisher Discriminant Spaces

AU - Jayawardena, Ashoka

AU - Kwan, Paul H

PY - 2011

Y1 - 2011

N2 - In this paper, we introduce an algorithm that is able to segment objects in natural images by using active contours. Active contours are used to regularize the segmentations. Our approach utilizes multiple feature spaces to capture as much information as possible, followed by projecting the multiple dimensional features space onto a single dimension to enable improved active contour evolution. We apply the Fisher Linear Discriminant Analysis (FLDA) to optimally calculate the projection vector while providing prior knowledge on number of clusters that are present on the image. Preliminary experiments confirm that the proposed algorithm is able to segment objects in natural images while optimizing contour smoothness and noises.

AB - In this paper, we introduce an algorithm that is able to segment objects in natural images by using active contours. Active contours are used to regularize the segmentations. Our approach utilizes multiple feature spaces to capture as much information as possible, followed by projecting the multiple dimensional features space onto a single dimension to enable improved active contour evolution. We apply the Fisher Linear Discriminant Analysis (FLDA) to optimally calculate the projection vector while providing prior knowledge on number of clusters that are present on the image. Preliminary experiments confirm that the proposed algorithm is able to segment objects in natural images while optimizing contour smoothness and noises.

KW - Pattern Recognition and Data Mining

KW - Computer Vision

KW - Image Processing

UR - http://www.ivs.auckland.ac.nz/ivcnz2011_temp/uploads/1377/2-ivcnz-2011-v3.pdf

UR - http://www.ivs.auckland.ac.nz/ivcnz2011/programme.php

M3 - Conference contribution

SN - 9780473202811

SN - 9780473202835

SN - 9780473202828

SP - 483

EP - 487

BT - Proceedings of the 2011 Image and Vision Computing New Zealand Conference (IVCNZ)

A2 - Delmas, Patrice

A2 - Wuensche, Burkhard

A2 - James, Jason

PB - Image and Vision Computing New Zealand

CY - New Zealand

T2 - IVCNZ 2011: 26th International Conference Image and Vision Computing New Zealand

Y2 - 29 November 2011 through 1 December 2011

ER -

Active Contour Image Segmentation in Fisher Discriminant Spaces

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