User-Oriented Content Based Image Retrieval Using Interactive Genetic Algorithm

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-29 Number-2
Year of Publication : 2015
Authors : Miss. Shraddha D Chavan, Ms. Vaishali Suryawanshi
  10.14445/22312803/IJCTT-V29P115

MLA

Miss. Shraddha D Chavan, Ms. Vaishali Suryawanshi "User-Oriented Content Based Image Retrieval Using Interactive Genetic Algorithm". International Journal of Computer Trends and Technology (IJCTT) V29(2):80-86, November 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
presently a day, with the development of digital image techniques and propelled collections in the Internet, the usage of modernized image retrieval technique has increased on an extremely key level. A picture retrieval system is a Computer structure for browsing, looking and recovering images from wide databases of computerized pictures. Exploring the picking centre to develop the precision of image retrieval, a content-based image retrieval framework taking into interactive genetic algorithm (IGA) is proposed. Color, texture has been the primitive low level picture descriptors in content-based image retrieval system. A system that parts the retrieval process in two stages. In the query stage, the feature descriptors of an inquiry picture were removed and starting there used to survey the similitude between the question image and those photos in the database using the Kekre's Fast Codebook Generation (KFCG) Method for feature extraction in the progress compose, the most significant pictures were retrieved by using the IGA.

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Keywords
CBIR, IGA, Feature Extraction, Kekre’s Fast Codebook Generation (KFCG).