Morphological Multiresolution Pattern Spectrum

Akira ASANO; Shunsuke YOKOZEKI

Morphological Multiresolution Pattern Spectrum

Akira ASANO, Shunsuke YOKOZEKI

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The pattern spectrum has been proposed to represent morphological size distribution of an image. However, the conventional pattern spectrum cannot extract approximate shape information from image objects spotted by noisy pixels since this is based only on opening. In this paper, a novel definition of the pattern spectrum, morphological multiresolution pattern spectrum (MPS), involving both opening and closing is proposed. MPS is capable of distinguishing details from approximate information of the image.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E80-A No.9 pp.1662-1666

Publication Date: 1997/09/25

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Category: Digital Signal Processing

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Akira ASANO, Shunsuke YOKOZEKI, "Morphological Multiresolution Pattern Spectrum" in IEICE TRANSACTIONS on Fundamentals, vol. E80-A, no. 9, pp. 1662-1666, September 1997, doi: .
Abstract: The pattern spectrum has been proposed to represent morphological size distribution of an image. However, the conventional pattern spectrum cannot extract approximate shape information from image objects spotted by noisy pixels since this is based only on opening. In this paper, a novel definition of the pattern spectrum, morphological multiresolution pattern spectrum (MPS), involving both opening and closing is proposed. MPS is capable of distinguishing details from approximate information of the image.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/e80-a_9_1662/_p

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@ARTICLE{e80-a_9_1662,
author={Akira ASANO, Shunsuke YOKOZEKI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Morphological Multiresolution Pattern Spectrum},
year={1997},
volume={E80-A},
number={9},
pages={1662-1666},
abstract={The pattern spectrum has been proposed to represent morphological size distribution of an image. However, the conventional pattern spectrum cannot extract approximate shape information from image objects spotted by noisy pixels since this is based only on opening. In this paper, a novel definition of the pattern spectrum, morphological multiresolution pattern spectrum (MPS), involving both opening and closing is proposed. MPS is capable of distinguishing details from approximate information of the image.},
keywords={},
doi={},
ISSN={},
month={September},}

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TY - JOUR
TI - Morphological Multiresolution Pattern Spectrum
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1662
EP - 1666
AU - Akira ASANO
AU - Shunsuke YOKOZEKI
PY - 1997
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E80-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 1997
AB - The pattern spectrum has been proposed to represent morphological size distribution of an image. However, the conventional pattern spectrum cannot extract approximate shape information from image objects spotted by noisy pixels since this is based only on opening. In this paper, a novel definition of the pattern spectrum, morphological multiresolution pattern spectrum (MPS), involving both opening and closing is proposed. MPS is capable of distinguishing details from approximate information of the image.
ER -