Orthogonal moments based texture analysis of CT liver images

被引：39

作者：

Bharathi, V. Subbiah ^{[1
]}

Ganesan, L. ^{[2
]}

机构：

[1] DMI Coll Engn, Dept Comp Sci & Engn, Madras 602103, Tamil Nadu, India

[2] AC Coll Engn & Technol, Dept Comp Sci & Engn, Karaikkudi 623004, Tamil Nadu, India

来源：

PATTERN RECOGNITION LETTERS | 2008年 / 29卷 / 13期

关键词：

orthogonal moments; texture; feature selection; classifier;

D O I：

10.1016/j.patrec.2008.06.003

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Orthogonal moments such as Zernike moments and Legendre moments have been proven to have superior feature representation capability and low information redundancy. The number of orthogonal moments to be used as features or numerical attributes to perform any application is minimal due to the orthogonal nature. However, the information possessed by each moment order needs to be analysed to identify the appropriate moment orders for the undertaken task. In this work, a statistical significance test has been performed to select the best moment orders to discriminate normal and abnormal tissues in liver images. The experimental results reveal the efficacy of the proposed features. (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：1868 / 1872

页数：5

共 15 条

[1]

Bharathi V.S., 2002, 2 FAE INT S, P292

[2]

CAVOURAS D, 1996, P 18 IEEE ENG MED BI, P1145

[3] A comparative analysis of algorithms for fast computation of Zernike moments [J].

Chong, CW ;

Raveendran, P ;

Mukundan, R .

PATTERN RECOGNITION, 2003, 36 (03) :731-742

[4]

Gletsos M, 2001, P ANN INT IEEE EMBS, V23, P2748, DOI 10.1109/IEMBS.2001.1017353

[5]

Jain AK., 1982, Handbook of Statistics, DOI [10.1016/S0169-7161(82)02042-2, DOI 10.1016/S0169-7161(82)02042-2]

[6] TEXTURE ANALYSIS OF CT IMAGES [J].

MIR, AH ;

HANMANDLU, M ;

TANDON, SN .

IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE, 1995, 14 (06) :781-786

[7] COMPUTATION OF LEGENDRE AND ZERNIKE MOMENTS [J].

MUKUNDAN, R ;

RAMAKRISHNAN, KR .

PATTERN RECOGNITION, 1995, 28 (09) :1433-1442

[8]

Mukundan R., 1998, Moment functions in image analysis: theory and applications

[9]

Pollard J.H, 1977, HDB NUMERICAL STAT T

[10]

PUDIL P, 1994, INT C PATT RECOG, P279, DOI 10.1109/ICPR.1994.576920

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