Content Based Image Retrieval using Texture, Color and Shape for Image Analysis

  • Sandhu A
  • Kochhar A
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Abstract

Content- Based Image Retrieval(CBIR) or QBIR  is the important  field of research..Content  Based Image retrieval has gained much popularity  in the past Content-based image retrieval (CBIR)[1] system has also helped users to retrieve relevant images based on their contents. It represents low level features like texture ,color and shape .In this paper, we compare the several feature extraction techniques [5]i.e..GLCM ,Histogram and shape properties  over color,  texture and shape The experiments show the similarity between these features and also that the output obtained using this combination of color, texture and shape is better as obtaining output  with a single feature

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APA

Sandhu, A., & Kochhar, A. (2012). Content Based Image Retrieval using Texture, Color and Shape for Image Analysis. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 3(1), 149–152. https://doi.org/10.24297/ijct.v3i1c.2768

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