DocumentCode
2159750
Title
The Jag-Wave Feature Detection in 2D Images
Author
Gao, Jingmin ; Sun, Yan
Author_Institution
Beijing Inf. Sci. & Technol. Univ., Beijing, China
fYear
2009
fDate
17-19 Oct. 2009
Firstpage
1
Lastpage
5
Abstract
In the field of image analysis and retrieval, the representations based on the shape of edge or boundary can be used to model complex forms and properties. In this paper, we give a detailed description of a new shape feature of edge or boundary, the jag-wave feature, which is usually treated as noise in image processing. The jag-wave feature is defined as a special kind of jagged or waved edge or boundary. We propose a detector of the jag-wave edge in images with the contour retrieval, ridge detection and corner detection in the color space. Finally, we give a case on jag-wave edge detector to distinguish whether the input image contains a stamp or not.
Keywords
feature extraction; image retrieval; 2D images; color space; contour retrieval; corner detection; image analysis; image processing; jag-wave feature detection; ridge detection; Computer vision; Detectors; Image color analysis; Image edge detection; Image retrieval; Information retrieval; Information science; Noise shaping; Shape; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-4129-7
Electronic_ISBN
978-1-4244-4131-0
Type
conf
DOI
10.1109/CISP.2009.5304262
Filename
5304262
Link To Document