Processes in image recognition include target detection and shape extraction. Active Net has been proposed as one of the methods for such processing. It treats the target detection in an image as an energy optimization problem. In this paper, a problem of the conventional Active Net is presented and the new Active Net is proposed. The new net is improved the ability for detecting a target. Finally, the validity of the proposed net is confirmed by experimental results.
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Noboru YABUKI, Yoshitaka MATSUDA, Makoto OTA, Yasuaki SUMI, Yutaka FUKUI, Shigehiko MIKI, "Improvement of Active Net Model for Region Detection in an Image" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 3, pp. 720-726, March 2001, doi: .
Abstract: Processes in image recognition include target detection and shape extraction. Active Net has been proposed as one of the methods for such processing. It treats the target detection in an image as an energy optimization problem. In this paper, a problem of the conventional Active Net is presented and the new Active Net is proposed. The new net is improved the ability for detecting a target. Finally, the validity of the proposed net is confirmed by experimental results.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_3_720/_p
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@ARTICLE{e84-a_3_720,
author={Noboru YABUKI, Yoshitaka MATSUDA, Makoto OTA, Yasuaki SUMI, Yutaka FUKUI, Shigehiko MIKI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Improvement of Active Net Model for Region Detection in an Image},
year={2001},
volume={E84-A},
number={3},
pages={720-726},
abstract={Processes in image recognition include target detection and shape extraction. Active Net has been proposed as one of the methods for such processing. It treats the target detection in an image as an energy optimization problem. In this paper, a problem of the conventional Active Net is presented and the new Active Net is proposed. The new net is improved the ability for detecting a target. Finally, the validity of the proposed net is confirmed by experimental results.},
keywords={},
doi={},
ISSN={},
month={March},}
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TY - JOUR
TI - Improvement of Active Net Model for Region Detection in an Image
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 720
EP - 726
AU - Noboru YABUKI
AU - Yoshitaka MATSUDA
AU - Makoto OTA
AU - Yasuaki SUMI
AU - Yutaka FUKUI
AU - Shigehiko MIKI
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2001
AB - Processes in image recognition include target detection and shape extraction. Active Net has been proposed as one of the methods for such processing. It treats the target detection in an image as an energy optimization problem. In this paper, a problem of the conventional Active Net is presented and the new Active Net is proposed. The new net is improved the ability for detecting a target. Finally, the validity of the proposed net is confirmed by experimental results.
ER -