Image Information Retrieval based on Edge Responses, Shape and Texture Features using Datamining Techniques

Image Information Retrieval based on Edge Responses, Shape and Texture Features using Datamining Techniques

Talluri. Sunil Kumar

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T.V.Rajinikanth

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B. Eswara Reddy

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α Jawaharlal Nehru Technological University, Hyderabad

Image Information Retrieval based on Edge Responses, Shape and Texture Features using Datamining Techniques

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Abstract

The present paper proposes a new technique that extracts significant structural, texture and local edge features from images. The local features are extracted by a steady local edge response that can sustain the presence of noise, illumination changes. The local edge response image is converted in to a ternary pattern image based on a local threshold. The structural features are derived by extracting shapes in the form of textons. The texture features are derived by constructing grey level co-occurrence matrix (GLCM) on the derived texton image. A new variant of K-means clustering scheme is proposed for clustering of images. The proposed method is compared with various methods of image retrieval based on data mining techniques.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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How to Cite This Article

Talluri. Sunil Kumar. 2016. \u201cImage Information Retrieval based on Edge Responses, Shape and Texture Features using Datamining Techniques\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 16 (GJCST Volume 16 Issue F3): .

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GJCST Volume 16 Issue F3
Pg. 1- 10

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-F Classification: I.3.3, I.4, H.2.8, B.4.2

Submission ReceivedDecember 14, 2015
Peer Review Double Blind
Handling Editor
Accepted January 1, 2016
Published January 15, 2016

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v1.2

Issue date

December 17, 2016

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Article Matrices

Total Score: 103

Country: India

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Talluri. Sunil Kumar, T.V.Rajinikanth, B. Eswara Reddy (PhD/Dr. count: 0)

View Count (all-time): 251

Total Views (Real + Logic): 7019

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Publish Date: 2016 12, Sat

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Total Views: 7019

Total Downloads: 1778

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