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A new technique to derive features for shift and unequally scaled images

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2 Author(s)
Raveendran, P. ; Dept. of Electr. Eng., Malaya Univ., Kuala Lumpur, Malaysia ; Omatu, S.

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

Published in:

Neural Networks, 1995. Proceedings., IEEE International Conference on  (Volume:4 )

Date of Conference:

Nov/Dec 1995