DocumentCode :
1997988
Title :
An improved edge direction histogram and edge orientation auto corrlogram for an efficient color image retrieval
Author :
Seetharaman, K. ; Sathiamoorthy, S.
Author_Institution :
Dept. of Comp. Sci. & Eng., Annamalai Univ., Annamalai Nagar, India
fYear :
2013
fDate :
19-21 Dec. 2013
Firstpage :
1
Lastpage :
4
Abstract :
This paper advances the edge histogram descriptor (EHD) of MPEG-7 standards and the edge orientation autocorrlogram (EOAC) by using the Full Range Autoregressive model (FRAR) with Bayesian approach. The model is applied in the HSV color space for extracting the edges. The proposed method preserves the chromatic information and the edges that are loosed by the spectral variations. The extracted edges are used to construct the EHD and EOAC. The proposed EHD and EOAC are extensively tested with the various image databases. Precision and recall method is used to measure the accuracy of the proposed method. The results evident that the proposed method outperforms the existing methods.
Keywords :
Bayes methods; autoregressive processes; content-based retrieval; feature extraction; image colour analysis; image retrieval; Bayesian approach; EHD; EOAC; FRAR; HSV color space; MPEG-7 standard; chromatic information; color image retrieval; edge direction histogram; edge extraction; edge histogram descriptor; edge orientation autocorrelogram; full range autoregressive model; precision-and-recall method; spectral variation; Feature extraction; Image color analysis; Image edge detection; Image retrieval; Mathematical model; Shape; Edge direction histogram; Edge orientation autocorrlogram; Full Range Autoregressive model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computing and Communication Systems (ICACCS), 2013 International Conference on
Conference_Location :
Coimbatore
Type :
conf
DOI :
10.1109/ICACCS.2013.6938725
Filename :
6938725
Link To Document :
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