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 An Image Retrieval Algorithm Combining Multi-content Features

  

  1. 1. College of Computer Science, Chongqing University, Chongqing 400044, China；

     2. Chongqing Key Laboratory of Software Theory and Technology, Chongqing 400044, China
  • Received:2015-04-01 Online:2015-09-21 Published:2015-09-24

Abstract:

In order to enhance the accuracy of image retrieval, a new content_based image retrieval algorithm FCTL is presented in this paper. In FCTL, the feature of an
image is described by a 300 bin histogram, which contains three types of information: color, texture and location. To represent the similarity of two images, a Matsushita
distance between their histograms is used. The retrieve results will be returned, sorting by their similarities with a given querying image. ANMRR, which is recommended by MPEG
-7, is used to evaluate performance in our comparative experiments. The comparative results based on WANG and UCID image libraries show that, FCTL has higher retrieval accuracy
than some frequently used algorithms.

Key words: contend-based image retrieval (CBIR), histogram, color, texture, location