Title :
Extract dominant elements and shapes from raster images
Author :
Hasson, Nebras N. ; Aljunid, S.A. ; Ahmad, R. Badlishah
Author_Institution :
Sch. of Comput. & Commun. Eng., Univ. Perlis Malaysia, Arau
Abstract :
The loss of quality incurred during image acquisition makes the simplification and enhancement of raster images a complex process. In this paper, we propose an approach that provides contrast and edge enhancement, followed by a polygonization process to produce a vectorized image which can be analyzed with less consuming time and decreasing the cost of searching and matching.
Keywords :
feature extraction; image enhancement; contrast enhancement; dominant elements extraction; edge enhancement; image acquisition; polygonization process; raster images; shapes extraction; Character recognition; Costs; Design engineering; Filtering algorithms; Image analysis; Object recognition; Optical character recognition software; Robustness; Shape; Text analysis; Contrast Enhancement; Document Analysis and Recognition; Line Drawings; Ploygonization; Thinning;
Conference_Titel :
Electronic Design, 2008. ICED 2008. International Conference on
Conference_Location :
Penang
Print_ISBN :
978-1-4244-2315-6
Electronic_ISBN :
978-1-4244-2315-6
DOI :
10.1109/ICED.2008.4786650
