In this paper, we discuss the principle of the clumsy painter method proposed for extracting interested regions from image signals automatically. We theoretically clarify the reason why the clumsy painter method is effective so well. We compare its algorithm with the opening operation in mathematical morphology, and prove that the clumsy painter method has the advantage over the opening operation in mathematical morphology on removing uninterested regions from image signals. Simulating these two methods on two simple geometrical models, we show that the extracted redults by the opening operation are included in those by the clumsy painter method.
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Masamune SATOH, Tohru IKEGUCHI, Takeshi MATOZAKI, "An Automatic Algorithm for Removing Uninterested Regions in Image Signals" in IEICE TRANSACTIONS on Information,
vol. E80-D, no. 1, pp. 63-71, January 1997, doi: .
Abstract: In this paper, we discuss the principle of the clumsy painter method proposed for extracting interested regions from image signals automatically. We theoretically clarify the reason why the clumsy painter method is effective so well. We compare its algorithm with the opening operation in mathematical morphology, and prove that the clumsy painter method has the advantage over the opening operation in mathematical morphology on removing uninterested regions from image signals. Simulating these two methods on two simple geometrical models, we show that the extracted redults by the opening operation are included in those by the clumsy painter method.
URL: https://globals.ieice.org/en_transactions/information/10.1587/e80-d_1_63/_p
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@ARTICLE{e80-d_1_63,
author={Masamune SATOH, Tohru IKEGUCHI, Takeshi MATOZAKI, },
journal={IEICE TRANSACTIONS on Information},
title={An Automatic Algorithm for Removing Uninterested Regions in Image Signals},
year={1997},
volume={E80-D},
number={1},
pages={63-71},
abstract={In this paper, we discuss the principle of the clumsy painter method proposed for extracting interested regions from image signals automatically. We theoretically clarify the reason why the clumsy painter method is effective so well. We compare its algorithm with the opening operation in mathematical morphology, and prove that the clumsy painter method has the advantage over the opening operation in mathematical morphology on removing uninterested regions from image signals. Simulating these two methods on two simple geometrical models, we show that the extracted redults by the opening operation are included in those by the clumsy painter method.},
keywords={},
doi={},
ISSN={},
month={January},}
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TY - JOUR
TI - An Automatic Algorithm for Removing Uninterested Regions in Image Signals
T2 - IEICE TRANSACTIONS on Information
SP - 63
EP - 71
AU - Masamune SATOH
AU - Tohru IKEGUCHI
AU - Takeshi MATOZAKI
PY - 1997
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E80-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 1997
AB - In this paper, we discuss the principle of the clumsy painter method proposed for extracting interested regions from image signals automatically. We theoretically clarify the reason why the clumsy painter method is effective so well. We compare its algorithm with the opening operation in mathematical morphology, and prove that the clumsy painter method has the advantage over the opening operation in mathematical morphology on removing uninterested regions from image signals. Simulating these two methods on two simple geometrical models, we show that the extracted redults by the opening operation are included in those by the clumsy painter method.
ER -