Content based image retrieval through object features

• R. Meenakshi ^[1]
  1. [1] Guru Jambheshwar University of Science and Technology

     Guru Jambheshwar University of Science and Technology

     India

     
• Localización: Journal of Computer Science and Technology, ISSN-e 1666-6038, Vol. 14, Nº. 2, 2014, págs. 109-110
• Idioma: inglés
• Enlaces
  • Texto completo (pdf)
• Resumen

  • Digital images are an increasingly important class of data, especially as computers become more usable with greater memory and communication capacities. As the demand for digital images increases, the need to store and retrieve images in an intuitive and efficient manner arises. These approaches can roughly be classified into three categories such as text-based, content-based and semantic based. Content based image retrieval(CBIR) is fairly a new method of image retrieval and is evolving continuosly. CBIR uses low-level features like colour, texture and shape that are inherent in the image can be used to describe and retrieve images. It involves two basic steps , • Feature Extraction • Matching The database is constructed by combining the geometric features , the texture features and the colour feature vector for all the given images. This is done separately before the retrieval process begins. This preprocessing reduces the retrieval time of the images.