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Article Dans Une Revue IOSR Journal of VLSI and Signal Processing (IOSR-JVSP) Année : 2014

NSCT edge Enhancement for SIFT key points extraction

Résumé

Image registration is a key step for matching or mosaicing two or more images taken at different times, and/or with different sensors, hence the need for automatic methods arises. In this work, we present an efficient registration method based on the Non-Subsampled Contourlet Transform (NSCT) combined with the Scale Invariant Feature transform (SIFT) to extract robust local control points. Because NSCT is a shift-invariant multidirectional transform, it is used to extract edges at both spatial and directional resolutions. A comparative study is established between SIFT and NSCT-SIFT and experimental results show clearly that the proposed method (NSCT-SIFT) improves the registration accuracy.

Dates et versions

hal-01075519 , version 1 (17-10-2014)

Identifiants

Citer

Abdelkrim Ghaz, Kidiyo Kpalma, Abdennacer Bounoua. NSCT edge Enhancement for SIFT key points extraction. IOSR Journal of VLSI and Signal Processing (IOSR-JVSP), 2014, 4 (2), pp.84-90. ⟨10.9790/4200-04218490⟩. ⟨hal-01075519⟩
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