Journal article Open Access

Color Based Image Retrieval by Combining Various Features

Bably Dolly; Deepa Raj

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:contributor>Blue Eyes Intelligence Engineering  &amp; Sciences Publication(BEIESP)</dc:contributor>
  <dc:creator>Bably Dolly</dc:creator>
  <dc:creator>Deepa Raj</dc:creator>
  <dc:description>Content based image retrieval system retrieve the images according to the strong feature related to desire as color, texture and shape of an image. Although visual features cannot be completely determined by semantic features, but still semantic features can be integrate easily into mathematical formulas. This paper is focused on retrieval of images within a large image collection, based on color projection by applying segmentation and quantification on different color models and compared for good result. This method is applied on different categories of image set and evaluated its retrieval rate in different models.</dc:description>
  <dc:source>International Journal of Engineering and Advanced Technology (IJEAT) 9(2) 454-460</dc:source>
  <dc:subject>segmentation, image retrieval, color feature</dc:subject>
  <dc:subject>Retrieval Number</dc:subject>
  <dc:title>Color Based Image Retrieval by Combining Various  Features</dc:title>
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