Design of Feature Extraction in Content Based Image Retrieval (CBIR) using Color and Texture

  • Sakhare S
  • Nasre V
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Abstract

Retrieval of images based on visual features such as color, texture and shape have proven to have its own set of limitations under different conditions. Various techniques have been implemented using these features like fuzzy color histogram, Tammura texture etc. In this paper we propose a novel method with highly accurate and retrieval efficient approach which will work on large image database with varied contents and background.

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Sakhare, S. V., & Nasre, V. G. (2012). Design of Feature Extraction in Content Based Image Retrieval (CBIR) using Color and Texture. International Journal of Computer Science and Informatics, 157–161. https://doi.org/10.47893/ijcsi.2012.1029

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