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A computing method of double linear correlation for mirror image matching | IEEE Conference Publication | IEEE Xplore

A computing method of double linear correlation for mirror image matching


Abstract:

A computing method of double linear correlation is proposed in order to estimate the location in which the part of an image matches another image even if one of the image...Show More

Abstract:

A computing method of double linear correlation is proposed in order to estimate the location in which the part of an image matches another image even if one of the images is mirrored across the vertical, horizontal, or both axes. 1-D double linear correlation (DLC) is extended to 2-D DLC. The reduction of the number of zero-padding is considered. The computational complexity of the proposed method is lower than that of an FFT approach by more than 50% the number of operations on real numbers.
Date of Conference: 04-09 May 2014
Date Added to IEEE Xplore: 14 July 2014
Electronic ISBN:978-1-4799-2893-4

ISSN Information:

Conference Location: Florence, Italy

1. INTRODUCTION

Correlation is a fundamental tool and is widely used for image matching. Discrete cosine transform sign phase correlation (DCT-SPC) is a kind of limited correlation based on the phase difference between two sequences that are extended symmetrically [1] [2]. DCT-SPC is calculated using DCT signs, which lowers the computational load, and have an affinity with coded images. However, DCT-SPC function is affected by convolution terms due to its symmetry property.

References

References is not available for this document.