Supervised Content based Image Retrieval using Fuzzy Texton and Shearlet Transform

α
Sudhakar Putheti
Sudhakar Putheti
σ
Mohan Krishna kotha
Mohan Krishna kotha
ρ
Srinivasa Reddy Edara
Srinivasa Reddy Edara
α Acharya Nagarjuna University Acharya Nagarjuna University

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Supervised Content based Image Retrieval using Fuzzy Texton and Shearlet Transform

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Abstract

In this paper we proposed, a novel framework to assist and automate the diagnosis of diseases from computer-based image analysis method using Content-based image retrieval (CBIR). CBIR is the process of retrieving related images from large database collections by using low level image features such as color, texture and shape etc. we have used fuzzy texton and discrete shearlet transform to extract texture and shape features. The aim is to support decision making by retrieving and displaying relevant past cases visually similar to the one under examination with relevance feedback using Support Vector Machines.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Sudhakar Putheti. 2015. \u201cSupervised Content based Image Retrieval using Fuzzy Texton and Shearlet Transform\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 15 (GJCST Volume 15 Issue F1): .

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GJCST Volume 15 Issue F1
Pg. 15- 22
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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I.2.3 I.5.1
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v1.2

Issue date

June 4, 2015

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In this paper we proposed, a novel framework to assist and automate the diagnosis of diseases from computer-based image analysis method using Content-based image retrieval (CBIR). CBIR is the process of retrieving related images from large database collections by using low level image features such as color, texture and shape etc. we have used fuzzy texton and discrete shearlet transform to extract texture and shape features. The aim is to support decision making by retrieving and displaying relevant past cases visually similar to the one under examination with relevance feedback using Support Vector Machines.

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Supervised Content based Image Retrieval using Fuzzy Texton and Shearlet Transform

Sudhakar Putheti
Sudhakar Putheti Acharya Nagarjuna University
Mohan Krishna kotha
Mohan Krishna kotha
Srinivasa Reddy Edara
Srinivasa Reddy Edara

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