TY  - JOUR
T1  - A New Texture Image Retrieval Scheme with Full Range Auto Regressive (FRAR) Model
AU - Pannirselvam, S. AU - Krishnamoorthi, R. 
JO  - International Journal of Soft Computing
VL  - 4
IS  - 5
SP  - 229
EP  - 235
PY  - 2009
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2009.229.235
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2009.229.235
KW  - Content Based Image Retrieval (CBIR)
KW  -texture
KW  -feature extraction
KW  -autocorrelation coefficients
KW  -feature set
KW  -Image Database (IDB)
AB  - In any Content Based Image Retrieval (CBIR) system, texture plays a significant role in retrieval process. Hence, in this study, a new texture based image retrieval scheme based on Full Range Auto Regressive model is proposed. With the proposed model, auto correlation coefficients are computed with positional difference to capture the texture present in the small image region under analysis. Autocorrelation functional features and directionality features are also extracted and utilized to propose an efficient CBIR system. The proposed scheme is experimented with standard images and is tested with two existing schemes. The retrieval rate and speed performs more efficient than the existing systems in image retrieval.
ER  -