UGC Approved Journal no 63975

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Published in:

Volume 3 Issue 12
December-2016
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1701794


Registration ID:
402035

Page Number

678-684

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Title

SCALE IN VARIANT TEXTURE CLASSIFICATION USING LOCAL LINE BINARY PATTERN AND SVM

Authors

Abstract

Texture content plays a prominent role in classification of the image. In this paper we use local line binary patterns for the texture analysis which has high tolerance against illumination variation. Steerable decomposition, a new rotation-invariant and scale-invariant texture representation is used to filter image in four orientations sub bands of the images for feature extraction. Finally, a classifier like SVM, KNN is used for the classification. The experimental results are evaluated for different binary patterns like local binary pattern (LBP), simplified binary pattern (SLBP) and local line binary pattern (LLBP).Comparative analysis shows that LLBP outperforms than the other two binary patterns.

Key Words

Local binary pattern, steerable filter decomposition, feature extraction, SVM, KNN

Cite This Article

"SCALE IN VARIANT TEXTURE CLASSIFICATION USING LOCAL LINE BINARY PATTERN AND SVM ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 12, page no.678-684, December-2016, Available :http://www.jetir.org/papers/JETIR1701794.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"SCALE IN VARIANT TEXTURE CLASSIFICATION USING LOCAL LINE BINARY PATTERN AND SVM ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 12, page no. pp678-684, December-2016, Available at : http://www.jetir.org/papers/JETIR1701794.pdf

Publication Details

Published Paper ID: JETIR1701794
Registration ID: 402035
Published In: Volume 3 | Issue 12 | Year December-2016
DOI (Digital Object Identifier):
Page No: 678-684
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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