IEICE TRANSACTIONS on Information
Separability-Based Intelligent Scissors for Interactive Image Segmentation
Summary :
Intelligent scissors is an interactive image segmentation algorithm which allows a user to select piece-wise globally optimal contour segment corresponding to a desired object boundary. However, the intelligent scissors is too sensitive to a noise and texture patterns in an image since it utilizes the gradient information concerning the pixel intensities. This paper describes a new intelligent scissors based on the concept of the separability in order to improve the object boundary extraction performance. The effectiveness of the proposed method has been confirmed by some experiments for actual images acquired by an ordinary digital camera.
- Publication
- IEICE TRANSACTIONS on Information Vol.E90-D No.1 pp.137-144
- Publication Date
- 2007/01/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- Type of Manuscript
- Special Section PAPER (Special Section on Advanced Image Technology)
- Category
Authors
Keyword
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Noriaki SUETAKE, Eiji UCHINO, Kanae HIRATA, "Separability-Based Intelligent Scissors for Interactive Image Segmentation" in IEICE TRANSACTIONS on Information,
vol. E90-D, no. 1, pp. 137-144, January 2007, doi: .
Abstract: Intelligent scissors is an interactive image segmentation algorithm which allows a user to select piece-wise globally optimal contour segment corresponding to a desired object boundary. However, the intelligent scissors is too sensitive to a noise and texture patterns in an image since it utilizes the gradient information concerning the pixel intensities. This paper describes a new intelligent scissors based on the concept of the separability in order to improve the object boundary extraction performance. The effectiveness of the proposed method has been confirmed by some experiments for actual images acquired by an ordinary digital camera.
URL: https://global.ieice.org/en_transactions/information/10.1587/e90-d_1_137/_p
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@ARTICLE{e90-d_1_137,
author={Noriaki SUETAKE, Eiji UCHINO, Kanae HIRATA, },
journal={IEICE TRANSACTIONS on Information},
title={Separability-Based Intelligent Scissors for Interactive Image Segmentation},
year={2007},
volume={E90-D},
number={1},
pages={137-144},
abstract={Intelligent scissors is an interactive image segmentation algorithm which allows a user to select piece-wise globally optimal contour segment corresponding to a desired object boundary. However, the intelligent scissors is too sensitive to a noise and texture patterns in an image since it utilizes the gradient information concerning the pixel intensities. This paper describes a new intelligent scissors based on the concept of the separability in order to improve the object boundary extraction performance. The effectiveness of the proposed method has been confirmed by some experiments for actual images acquired by an ordinary digital camera.},
keywords={},
doi={},
ISSN={1745-1361},
month={January},}
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TY - JOUR
TI - Separability-Based Intelligent Scissors for Interactive Image Segmentation
T2 - IEICE TRANSACTIONS on Information
SP - 137
EP - 144
AU - Noriaki SUETAKE
AU - Eiji UCHINO
AU - Kanae HIRATA
PY - 2007
DO -
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E90-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2007
AB - Intelligent scissors is an interactive image segmentation algorithm which allows a user to select piece-wise globally optimal contour segment corresponding to a desired object boundary. However, the intelligent scissors is too sensitive to a noise and texture patterns in an image since it utilizes the gradient information concerning the pixel intensities. This paper describes a new intelligent scissors based on the concept of the separability in order to improve the object boundary extraction performance. The effectiveness of the proposed method has been confirmed by some experiments for actual images acquired by an ordinary digital camera.
ER -
English
