Preventing Chaining in Alpha-Trees Using Gabor Filters

Xiaoxuan Zhang; M.H.F. Wilkinson

doi:10.1007/978-3-030-20867-7

Preventing Chaining in Alpha-Trees Using Gabor Filters

Xiaoxuan Zhang, M.H.F. Wilkinson

Intelligent Systems

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

1 Citation (Scopus)

Abstract

Hierarchical segmentation using α-trees can suffer from unwanted leakage or chaining effects, which lower segmentation quality by reducing the depth of the hierarchy. In this paper we introduce a new way to prevent the chaining effect of α-trees. It relies on the odd 2-D Gabor filter. A series of clean, noisy, and blurred synthetic images was used to test the ability of improved α-trees to stop the chaining effect obtaining a 99.8% segmentation accuracy, and we compared it with the contrast-based α-tree proposed previously by Soille. Two remote sensing images were also used to test the performance of the methods on natural images. The results showed that both 4-CN and 8-CN odd Gabor filter based α-trees can prevent the chaining effect efficiently.

Original language	English
Title of host publication	Mathematical Morphology and Its Applications to Signal and Image Processing
Editors	Bernhard Burgeth, Andreas Kleefeld, Benoit Naegel, Nicolas Passat, Benjamin Perret
Publisher	Springer
Pages	268-280
ISBN (Electronic)	978-3-030-20867-7
ISBN (Print)	978-3-030-20866-0
DOIs	https://doi.org/10.1007/978-3-030-20867-7
Publication status	Published - 8-Jul-2019
Event	International Symposium on Mathematical Morphology - Saarland University, Saarbrücken, Germany Duration: 8-Jul-2019 → 10-Jul-2019 Conference number: 14 http://ismm.uni-saarland.de/

Publication series

Name	Lecture Notes in Computer Science
Volume	11564

Conference

Conference	International Symposium on Mathematical Morphology
Abbreviated title	ISMM
Country/Territory	Germany
City	Saarbrücken
Period	08/07/2019 → 10/07/2019
Internet address	http://ismm.uni-saarland.de/

Keywords

image segmentation
mathematical morphology
Alpha-tree
Gabor filter

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10.1007/978-3-030-20867-7

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@inproceedings{fe9f70532e334b9b928b1807bfd40d10,

title = "Preventing Chaining in Alpha-Trees Using Gabor Filters",

abstract = "Hierarchical segmentation using α-trees can suffer from unwanted leakage or chaining effects, which lower segmentation quality by reducing the depth of the hierarchy. In this paper we introduce a new way to prevent the chaining effect of α-trees. It relies on the odd 2-D Gabor filter. A series of clean, noisy, and blurred synthetic images was used to test the ability of improved α-trees to stop the chaining effect obtaining a 99.8% segmentation accuracy, and we compared it with the contrast-based α-tree proposed previously by Soille. Two remote sensing images were also used to test the performance of the methods on natural images. The results showed that both 4-CN and 8-CN odd Gabor filter based α-trees can prevent the chaining effect efficiently.",

keywords = "image segmentation, mathematical morphology, Alpha-tree, Gabor filter",

author = "Xiaoxuan Zhang and M.H.F. Wilkinson",

year = "2019",

month = jul,

day = "8",

doi = "10.1007/978-3-030-20867-7",

language = "English",

isbn = "978-3-030-20866-0 ",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "268--280",

editor = "Bernhard Burgeth and Andreas Kleefeld and Benoit Naegel and Nicolas Passat and Benjamin Perret",

booktitle = "Mathematical Morphology and Its Applications to Signal and Image Processing",

note = "International Symposium on Mathematical Morphology, ISMM ; Conference date: 08-07-2019 Through 10-07-2019",

url = "http://ismm.uni-saarland.de/",

}

Zhang, X & Wilkinson, MHF 2019, Preventing Chaining in Alpha-Trees Using Gabor Filters. in B Burgeth, A Kleefeld, B Naegel, N Passat & B Perret (eds), Mathematical Morphology and Its Applications to Signal and Image Processing. Lecture Notes in Computer Science, vol. 11564, Springer, pp. 268-280, International Symposium on Mathematical Morphology, Saarbrücken, Saarland, Germany, 08/07/2019. https://doi.org/10.1007/978-3-030-20867-7

Preventing Chaining in Alpha-Trees Using Gabor Filters. / Zhang, Xiaoxuan; Wilkinson, M.H.F.
Mathematical Morphology and Its Applications to Signal and Image Processing. ed. / Bernhard Burgeth; Andreas Kleefeld; Benoit Naegel; Nicolas Passat; Benjamin Perret. Springer, 2019. p. 268-280 (Lecture Notes in Computer Science; Vol. 11564).

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

TY - GEN

T1 - Preventing Chaining in Alpha-Trees Using Gabor Filters

AU - Zhang, Xiaoxuan

AU - Wilkinson, M.H.F.

N1 - Conference code: 14

PY - 2019/7/8

Y1 - 2019/7/8

N2 - Hierarchical segmentation using α-trees can suffer from unwanted leakage or chaining effects, which lower segmentation quality by reducing the depth of the hierarchy. In this paper we introduce a new way to prevent the chaining effect of α-trees. It relies on the odd 2-D Gabor filter. A series of clean, noisy, and blurred synthetic images was used to test the ability of improved α-trees to stop the chaining effect obtaining a 99.8% segmentation accuracy, and we compared it with the contrast-based α-tree proposed previously by Soille. Two remote sensing images were also used to test the performance of the methods on natural images. The results showed that both 4-CN and 8-CN odd Gabor filter based α-trees can prevent the chaining effect efficiently.

AB - Hierarchical segmentation using α-trees can suffer from unwanted leakage or chaining effects, which lower segmentation quality by reducing the depth of the hierarchy. In this paper we introduce a new way to prevent the chaining effect of α-trees. It relies on the odd 2-D Gabor filter. A series of clean, noisy, and blurred synthetic images was used to test the ability of improved α-trees to stop the chaining effect obtaining a 99.8% segmentation accuracy, and we compared it with the contrast-based α-tree proposed previously by Soille. Two remote sensing images were also used to test the performance of the methods on natural images. The results showed that both 4-CN and 8-CN odd Gabor filter based α-trees can prevent the chaining effect efficiently.

KW - image segmentation

KW - mathematical morphology

KW - Alpha-tree

KW - Gabor filter

U2 - 10.1007/978-3-030-20867-7

DO - 10.1007/978-3-030-20867-7

M3 - Conference contribution

SN - 978-3-030-20866-0

T3 - Lecture Notes in Computer Science

SP - 268

EP - 280

BT - Mathematical Morphology and Its Applications to Signal and Image Processing

A2 - Burgeth, Bernhard

A2 - Kleefeld, Andreas

A2 - Naegel, Benoit

A2 - Passat, Nicolas

A2 - Perret, Benjamin

PB - Springer

T2 - International Symposium on Mathematical Morphology

Y2 - 8 July 2019 through 10 July 2019

ER -

Preventing Chaining in Alpha-Trees Using Gabor Filters

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