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Texture Image Retrieval Using Greedy Method

  • Pushpa B. Patil
  • Manesh B. Kokare
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 174)

Abstract

There is a huge amount of methods for extracting image descriptors and defining the similarity measures. In this paper, we try to improve texture image retrieval performance with post processing based on the greedy technique called Prims algorithm. In the proposed method feature database is represented using distance matrix, which is the distance between every image of the database. Due to symmetric property of a matrix, we can improve the efficiency and effectiveness of the proposed retrieval system. However for large database the size of the matrix is large. The proposed system is tested with three different image descriptors, namely combined rotated complex wavelet filters (RCWF) and dual tree complex wavelets (DT-CWT), Contourlet Transform (CT), and Discrete Wavelet Transforms (DWT).

Keywords

Discrete Wavelet Transform Image Retrieval Query Image Image Descriptor Complex Wavelet 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer India 2013

Authors and Affiliations

  1. 1.BLDEA’s Dr. P.G.H. CETBijapurIndia
  2. 2.SGGS Institute of Tech. & Engg.NandedIndia

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