DocumentCode
2968356
Title
New regular moment invariants to classify elongated and contracted images
Author
Raveendran, P. ; Jegannathan, S. ; Omatu, Sigeru
Author_Institution
Fac. of Eng., Malaya Univ., Kuala Lumpur, Malaysia
Volume
3
fYear
1993
fDate
25-29 Oct. 1993
Firstpage
2089
Abstract
This paper presents a technique to classify images that have been elongated or contracted. It is first shown that the conventional regular moment invariant remains no longer invariant when the image is scaled unequally in the x-and y-directions. A method is proposed to form moment invariants that do not change under such unequal scaling. Results of computer simulations for images are also included verifying the validity of the method proposed.
Keywords
image classification; contracted image classification; elongated image classification; regular moment invariants; Application software; Computer simulation; Image coding; Intelligent systems; Pattern recognition; Reflection; Shape; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN
0-7803-1421-2
Type
conf
DOI
10.1109/IJCNN.1993.714135
Filename
714135
Link To Document