Supervised Content based Image Retrieval using Fuzzy Texton and Shearlet Transform

Sudhakar Putheti; Mohan Krishna Kotha; Srinivasa Reddy Edara

Supervised Content based Image Retrieval using Fuzzy Texton and Shearlet Transform

Sudhakar Putheti * §

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Mohan Krishna Kotha

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Srinivasa Reddy Edara

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Acharya Nagarjuna University

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

35 Cites in Article

Reference Format

Y Rui,T Huang,S Chang (1999). Image retrieval: Current techniques, prominsigndirections, and open issues.
A Smeulders,M Worring,S Santini,A Gupta,R Jain (2000). Content-based image retrieval at the end of the early years.
R Datta,D Joshi,J Li,J Wang (2008). Image retrieval: Ideas, influences, andtrends of the new age.
H M¨uller,N Michoux,D Bandon,A Geissbuhler (2004). A review of content-basedimage retrieval systems in medical applications -clinical benefits and future directions.
C Brodley,A Kak,C Shyu,J Dy,L Broderick,A Aisen (1999). Content-based retrieval from medical image databases: a synergy of human interaction.
M Rao,B Rao,A Govardhan (2011). CTDCIRS: Content based Image Retrieval System based on Dominant Color and Texture Features.
Geverst Smeulders,A (2000). Pic To Seek : Combing color and shape invariant features for image retrieval.
A Khotanzad,Y Hong (1990). Invariant image recognition by Zernike moments.
C Sagiv,N Sochen,Y Zeevi (2006). Integrated active contours for texture segmentation.
Phillip Misna,Nikolay Sirakov (2004). Intelligent Shape Feature Extraction and Indexing for EfficientContent-Based Medical Image Retrieval.
Andre Folkers,H Samet (2002). Content-based image retrieval using Fourier descriptors on a logo database.
V Vapnik (1995). The Nature of Statistical Learning Theory.
C Shyu,C Brodley,A Kak,A Kosaka,A Aisen,L Broderick (1999). ASSERT -A physician-in-theloop contentbased retrieval system for HRCT image databases.
Daniel Keysers,J Dahmen,H Ney,B Wein,T Lehmann (2003). Statistical framework for model-based image retrieval in medical applications.
T Deselaers (2003). Features for Image Retrieva.
Y Chang,X Li (1994). Adaptive image regiongrowing.
A Nabout,M Hubert,H Nour Eldin,L Lachtev,L Mikhailov,J Zaprianov (1993). WISEKO: a knowledge-based system for the recognition of 2D-complex objects in CAQ applications.
H Freeman (1961). Techniques for the digital computer analysis of chain-encoded arbitrary plane curves.
Pitas (2000). Digital Image Processing, Algorithms and Application.
Y Rui,T Huang,S.-F Chang (1999). Image retrieval: current techniques, promising directions, and open issues.
J Smith,S.-F Chang (1996). VisualSEEk: a fully automated content-based image query system.
W Ma,H Zhang (1999). Content-Based Image Indexing and Retrieval, Handbook of Multimedia Computing.
K Guo,D Labate (2007). Optimally sparse multidimensional representation using shearlets.
S Yi,D Labate,G Easley,H Krim (2008). Edge detection and processing using shearlets.
S Yi,D Labate,G Easley,H Krim (2009). A Shearlet approach to edge analysis and detection.
M Do,M Vetterli (2005). The contourlet transform: an efficient directional multiresolution image representation.
Null- Po,M Do (2006). Directional multiscale modeling of images using the contourlet transform.
W Freeman,E Adelson (1991). The design and use of steerable filters.
E Simoncelli,W Freeman (1995). The steerable pyramid: A flexible architecture for multi-scale derivative computation.
J Luo,D Crandall (2006). Color object detection using spatial-color joint probability functions.
K Guo,D Labate (2009). Characterization and analysis of edges using the continuous shearlet transform.
Kanghui Guo,Demetrio Labate,Null- Lim (2009). Edge analysis and identification using the continuous shearlet transform.
Dengsheng Zhang,Guojun Lu (2004). Review of shape representation and description techniques.
Palm (2004). Color texture classification by integrative cooccurrence matrices.
G-H Liu,J-Y. Yang (2008). Image retrieval based on the texton co-occurrence matrix.

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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, Mohan Krishna Kotha, Srinivasa Reddy Edara. 2015. "Supervised Content based Image Retrieval using Fuzzy Texton and Shearlet Transform". 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

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

I.2.3 I.5.1

Submission ReceivedDecember 12, 2014
Peer Review Double Blind
Handling Editor
Accepted January 1, 2015
Published January 15, 2015

Version of record

v1.2

Issue date

June 4, 2015

Language

English

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Article Matrices

Total Score: 143

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Sudhakar Putheti, Mohan Krishna kotha,Srinivasa Reddy Edara (PhD/Dr. count: 0)

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