Generalized non-linear wavelets and their application to medical image processing

Hajime Nobuhara; Kenji Kitamura; Kaoru Hirota; Barnabas Bede

Generalized non-linear wavelets and their application to medical image processing

Hajime Nobuhara^*
, Kenji Kitamura
, Kaoru Hirota
, Barnabas Bede

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

Generalized non-linear wavelets are proposed by using weight coefficients in the analysis/synthesis operations. The proposed wavelets can generate various types of mother wavelets by adjusting the weight coefficients, in the setting of non-linear signal processing. Through experiment using real images extracted from standard image database (SIBDA), image analysis results (sub-band decomposition) are represented by the proposed method. Furthermore, the proposed method is applied to preprocessing of the chest lung X-ray images diagnosis based on standard digital image database created by Japanese society of radiological technology, and results of suspicious regions detection are shown.

Original language	English
Pages (from-to)	1488-1493
Number of pages	6
Journal	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume	2
Publication status	Published - 2005
Externally published	Yes
Event	IEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics - Waikoloa, HI, United States Duration: 10 Oct 2005 → 12 Oct 2005

Keywords

Mathematical morphology
Max-plus algebra
Medical image diagnosis
Wavelets

Cite this

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title = "Generalized non-linear wavelets and their application to medical image processing",

abstract = "Generalized non-linear wavelets are proposed by using weight coefficients in the analysis/synthesis operations. The proposed wavelets can generate various types of mother wavelets by adjusting the weight coefficients, in the setting of non-linear signal processing. Through experiment using real images extracted from standard image database (SIBDA), image analysis results (sub-band decomposition) are represented by the proposed method. Furthermore, the proposed method is applied to preprocessing of the chest lung X-ray images diagnosis based on standard digital image database created by Japanese society of radiological technology, and results of suspicious regions detection are shown.",

keywords = "Mathematical morphology, Max-plus algebra, Medical image diagnosis, Wavelets",

author = "Hajime Nobuhara and Kenji Kitamura and Kaoru Hirota and Barnabas Bede",

year = "2005",

language = "English",

volume = "2",

pages = "1488--1493",

journal = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

issn = "1062-922X",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "IEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics ; Conference date: 10-10-2005 Through 12-10-2005",

}

TY - JOUR

T1 - Generalized non-linear wavelets and their application to medical image processing

AU - Nobuhara, Hajime

AU - Kitamura, Kenji

AU - Hirota, Kaoru

AU - Bede, Barnabas

PY - 2005

Y1 - 2005

N2 - Generalized non-linear wavelets are proposed by using weight coefficients in the analysis/synthesis operations. The proposed wavelets can generate various types of mother wavelets by adjusting the weight coefficients, in the setting of non-linear signal processing. Through experiment using real images extracted from standard image database (SIBDA), image analysis results (sub-band decomposition) are represented by the proposed method. Furthermore, the proposed method is applied to preprocessing of the chest lung X-ray images diagnosis based on standard digital image database created by Japanese society of radiological technology, and results of suspicious regions detection are shown.

AB - Generalized non-linear wavelets are proposed by using weight coefficients in the analysis/synthesis operations. The proposed wavelets can generate various types of mother wavelets by adjusting the weight coefficients, in the setting of non-linear signal processing. Through experiment using real images extracted from standard image database (SIBDA), image analysis results (sub-band decomposition) are represented by the proposed method. Furthermore, the proposed method is applied to preprocessing of the chest lung X-ray images diagnosis based on standard digital image database created by Japanese society of radiological technology, and results of suspicious regions detection are shown.

KW - Mathematical morphology

KW - Max-plus algebra

KW - Medical image diagnosis

KW - Wavelets

UR - https://www.scopus.com/pages/publications/27944450764

M3 - Conference article

AN - SCOPUS:27944450764

SN - 1062-922X

VL - 2

SP - 1488

EP - 1493

JO - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

JF - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

T2 - IEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics

Y2 - 10 October 2005 through 12 October 2005

ER -

Generalized non-linear wavelets and their application to medical image processing

Abstract

Keywords

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