Image Data Categorization Based on Texture Feature and Neural Network Based Classifier

Abstract

The classification and categorization of digital multi-media data is very challenging task for the storage manager and server. The diversity of multi-media data faced a problem of retrieval over the internet. The retrieval of image over internet required image classification and categorization. In this paper, proposed texture based image categorization model using the scenario of neural network. The extraction of texture feature used Wavelet Transform Function. Wavelet defined as texture feature extractor. The neural network model used for the purpose of classification. Our proposed algorithm implemented in MATLAB software, and for the validation of algorithm used coral image dataset. Our empirical evaluation of result shows that proposed method is better than exiting method of image classification and categorization.

Authors and Affiliations

Deepak Kumar Shukla, Deepak Singh Tomar

Keywords

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  • EP ID EP22741
  • DOI -
  • Views 224
  • Downloads 4

How To Cite

Deepak Kumar Shukla, Deepak Singh Tomar (2016). Image Data Categorization Based on Texture Feature and Neural Network Based Classifier. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(10), -. https://europub.co.uk/articles/-A-22741