DocumentCode
296167
Title
A new technique to derive features for shift and unequally scaled images
Author
Raveendran, P. ; Omatu, Sigeru
Author_Institution
Dept. of Electr. Eng., Malaya Univ., Kuala Lumpur, Malaysia
Volume
4
fYear
1995
fDate
Nov/Dec 1995
Firstpage
2077
Abstract
This paper presents a technique to derive features for images that are shifted and unequally scaled. The problem is formulated using conventional regular moments. It is shown that the conventional regular moment-invariants remain 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. Computer simulation results are also included to show the validity of the method proposed
Keywords
feature extraction; image recognition; conventional regular moments; feature derivation; moment-invariants; shifted unequally-scaled images; Computer simulation; Educational institutions; Image coding; Image recognition; Mirrors; Pattern recognition; Reflection;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-2768-3
Type
conf
DOI
10.1109/ICNN.1995.488995
Filename
488995
Link To Document