Open AccessCONTENT BASED IMAGE RETRIEVAL
Author(s) -
Harshada Anand Khutwad,
Ravindra Vaidya
Publication year - 2013
Publication title -
international journal of image processing and vision sciences
Language(s) - English
Resource type - Journals
ISSN - 2278-1110
DOI - 10.47893/ijipvs.2013.1058
Subject(s) - artificial intelligence , image texture , computer science , color histogram , computer vision , image retrieval , color image , pattern recognition (psychology) , content based image retrieval , visual word , texture (cosmology) , image (mathematics) , image processing
Content Based Image Retrieval is an interesting and most emerging field in the area of ‘Image Search’, finding similar images for the given query image from the image database. Current approaches include the use of color, texture and shape information. Considering these features in individual, most of the retrievals are poor in results and sometimes we are getting some non relevant images for the given query image. So, this dissertation proposes a method in which combination of color and texture features of the image is used to improve the retrieval results in terms of its accuracy. For color, color histogram based color correlogram technique and for texture wavelet decomposition technique is used. Color and texture based image