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International Journal of Information Technology

, Volume 11, Issue 4, pp 697–706 | Cite as

An innovative method of retrieving images through clusters, means and wavelet transformation

  • R. TamilkodiEmail author
  • G. Roseline Nesa Kumari
  • S. Maruthu Perumal
Original Research
  • 19 Downloads

Abstract

This paper introduces a new method CLMWT(cluster local mean wavelet transform) using the primitive features like color, texture and shape in which the features are extracted by using different components of an image using various methods clustering, local mean histogram and wavelet transform. This manuscript exhibit a technique CLMWT to extort texture, color and shape features of an image hastily for content based image retrieval. First clustering is done for the image and then local mean is applied and based on wavelet transform technique compression is done and the mean is calculated for the compressed image. Related to this way of extraction a CBIR method is intended with color, texture and shape by forming the mean of the feature vector. The proposed work CLMWT checks its performance of the method with other methods accordingly this approach gives better performance than using two combinations.

Keywords

Image retrieval Shape Color Texture Content based Histogram Wavelet Local mean 

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Copyright information

© Bharati Vidyapeeth's Institute of Computer Applications and Management 2018

Authors and Affiliations

  1. 1.Saveetha UniversityGIET(A)RajahmundryIndia
  2. 2.CSE DepartmentSaveetha School of EngineeringChennaiIndia
  3. 3.CSE DepartmentNBKR Institute of Science and TechnologyVidyanagarIndia

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