A Novel Object Based Image Retrieval System Using Expectation Maximization Method

Abstract

Content based image retrieval, the problem of finding images from data base according to their content, has been the subject of a significant amount of research in the last decade. Image retrieval based on region is one of the most promising and active research directions in recent years. As literature prove that region segmentation will produce better results. Human visual perception is more effective than any machine vision systems for extracting semantic information from image, hitherto no specific system has been suggested with the ability of extracting object individually. We introduce a new idea, hence object detection has been obtained as main contribution of this paper and a new feature extraction based on spectral analysis is presented.

Authors and Affiliations

Saeid Mojarrad, Seyyed Hadi Hashemi-Berenjabad

Keywords

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  • EP ID EP21607
  • DOI -
  • Views 242
  • Downloads 4

How To Cite

Saeid Mojarrad, Seyyed Hadi Hashemi-Berenjabad (2016). A Novel Object Based Image Retrieval System Using Expectation Maximization Method. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(2), -. https://europub.co.uk/articles/-A-21607