DocumentCode
1716033
Title
Experimental analysis of perceptual based texture features for image retrieval
Author
Hassekar, Prajakta P. ; Sawant, Rajendra R.
Author_Institution
Dept. of Comput. Sci. & Eng., S.R T.M. Univ., Nanded, India
fYear
2015
Firstpage
1
Lastpage
6
Abstract
The perception-based approach of feature extraction methods for CBIR has been summarized. It has proposed an experimental analysis of mathematical modeling of textural contents for images, having a perceptual meaning and application such as coarseness, directionality, contrast, and busyness. An objective is to find an effective method to estimate perceptual features. So a cumulative use of computational intelligence to build a Knowledge Based Expert system for dental related diseases is proposed.
Keywords
content-based retrieval; feature extraction; image retrieval; image texture; CBIR; computational intelligence; dental related diseases; feature extraction methods; image retrieval; knowledge based expert system; perceptual based texture features; Computational modeling; Correlation; Databases; Dentistry; Estimation; Feature extraction; Mathematical model; Content based image retrieval (CBIR); Image processing; Perceptual features; Texture retrieval;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication, Information & Computing Technology (ICCICT), 2015 International Conference on
Conference_Location
Mumbai
Print_ISBN
978-1-4799-5521-3
Type
conf
DOI
10.1109/ICCICT.2015.7045666
Filename
7045666
Link To Document