DocumentCode
2195389
Title
Geometry preserving image retrieval using normalized scale coding
Author
Vyshali, S. ; Subramanyam, M.V. ; Raajan, K.Soundara
Author_Institution
ECE Dept, G.P.R.Engg college, Kurnool, India
fYear
2015
fDate
24-25 Jan. 2015
Firstpage
1
Lastpage
6
Abstract
In the area of image retrieval, shape based coding is a simpler and effective approach of image representation. Among various approaches of image representation for shape defining, curvature based coding is an advanced and quite effective way of image coding. In the approach of image representation using curvature coding, the shape is defined by closed contour. Wherein contours are shape representing approach, they may be very large in representation and hence result in resource overhead. To minimize the resource overhead in image retrieval system, a normalized scale contour coding is proposed. This approach preserves the shape description, with reducing number of feature vectors.
Keywords
Certification; IEEE publications; Image coding; Interviews; Media; Nose; System-on-chip; Image retrieval; Normalized scale coding; geometry preserving;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
Conference_Location
Visakhapatnam, India
Print_ISBN
978-1-4799-7676-8
Type
conf
DOI
10.1109/EESCO.2015.7253843
Filename
7253843
Link To Document