DocumentCode :
615322
Title :
A novel approach for content based image retrieval using hybrid filter techniques
Author :
Manoharan, Sathiamoorthy ; Sathappan, S.
Author_Institution :
PG Dept. of Comput. Sci., Kongu Arts & Sci. Coll., Erode, India
fYear :
2013
fDate :
26-28 April 2013
Firstpage :
518
Lastpage :
524
Abstract :
In general the users are in need to retrieve images from a collection of database images from variety of domains. In earlier phase this need was satisfied by retrieving the relevant images from different database simply. Where there is a bottleneck that the images retrieved was not relevant much to the user query because the images were not retrieved based on content where another drawback is that the manual searching time is increased. To avoid this (CBIR) is developed it is a technique for retrieving images on the basis of automatically -derived features such as colour, texture and shape of images. To provide a best result in proposed work we are implementing high level filtering where we are using the Anisotropic Morphological Filters, hierarchical Kaman filter and particle filter proceeding with feature extraction method based on color and gray level feature and after this the results were normalized.
Keywords :
Kalman filters; content-based retrieval; feature extraction; image colour analysis; image retrieval; particle filtering (numerical methods); visual databases; CBIR; anisotropic morphological filters; color feature; content based image retrieval; database image collection; feature extraction method; gray level feature; hierarchical Kaman filter; high level filtering; hybrid filter techniques; image colour; image shape; image texture; manual searching time; particle filter; user query; Computers; Databases; Image color analysis; Image segmentation; Morphology; Anisotropic Morphological Filters; Color feature extraction; Content-Based Image Retrieval (CBIR); Gray-level extraction; hierarchical Kaman filter and particle filter; mahalanobis distance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education (ICCSE), 2013 8th International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4673-4464-7
Type :
conf
DOI :
10.1109/ICCSE.2013.6553965
Filename :
6553965
Link To Document :
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