Target detection with texture feature coding method and Support Vector Machines

J. Liang; X. Zhao; R. Xu; C. Kwan; C. I. Chang

Target detection with texture feature coding method and Support Vector Machines

J. Liang, X. Zhao, R. Xu, C. Kwan, C. I. Chang

Department of Electrical Engineering

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

14 Citations (Scopus)

Abstract

A texture analysis approach of using an improved texture feature coding method (TFCM) and the Support Vector Machines (SVM) for target detection is presented in this paper. Preliminary test on mammogram showed over 88% of normal mammograms and 85% of abnormal mammograms were correctly identified. Automatic target detection with a Cascade-Sliding-Window (CSW) technique is also discussed.

Original language	English
Pages (from-to)	II713-II716
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2
Publication status	Published - 2004
Event	Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada Duration: 2004 May 17 → 2004 May 21

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Electrical and Electronic Engineering

Cite this

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title = "Target detection with texture feature coding method and Support Vector Machines",

abstract = "A texture analysis approach of using an improved texture feature coding method (TFCM) and the Support Vector Machines (SVM) for target detection is presented in this paper. Preliminary test on mammogram showed over 88% of normal mammograms and 85% of abnormal mammograms were correctly identified. Automatic target detection with a Cascade-Sliding-Window (CSW) technique is also discussed.",

author = "J. Liang and X. Zhao and R. Xu and C. Kwan and Chang, {C. I.}",

year = "2004",

language = "English",

volume = "2",

pages = "II713--II716",

journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

issn = "1520-6149",

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

note = "Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing ; Conference date: 17-05-2004 Through 21-05-2004",

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TY - JOUR

T1 - Target detection with texture feature coding method and Support Vector Machines

AU - Liang, J.

AU - Zhao, X.

AU - Xu, R.

AU - Kwan, C.

AU - Chang, C. I.

PY - 2004

Y1 - 2004

N2 - A texture analysis approach of using an improved texture feature coding method (TFCM) and the Support Vector Machines (SVM) for target detection is presented in this paper. Preliminary test on mammogram showed over 88% of normal mammograms and 85% of abnormal mammograms were correctly identified. Automatic target detection with a Cascade-Sliding-Window (CSW) technique is also discussed.

AB - A texture analysis approach of using an improved texture feature coding method (TFCM) and the Support Vector Machines (SVM) for target detection is presented in this paper. Preliminary test on mammogram showed over 88% of normal mammograms and 85% of abnormal mammograms were correctly identified. Automatic target detection with a Cascade-Sliding-Window (CSW) technique is also discussed.

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M3 - Conference article

AN - SCOPUS:4644343976

SN - 1520-6149

VL - 2

SP - II713-II716

JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

T2 - Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing

Y2 - 17 May 2004 through 21 May 2004

ER -

Target detection with texture feature coding method and Support Vector Machines

Abstract

All Science Journal Classification (ASJC) codes

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