Image Registration Using Wavelet Transform
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Most Trusted Research Journal Since Year 2012

ISSN: 2319-7064



Research Paper | Computer Science & Engineering | India | Volume 5 Issue 8, August 2016

Image Registration Using Wavelet Transform

Safia Sadruddin, Dr. Rashid Ali

Image Registration is an elementary step in many image processing tasks such as medical image analysis, remote sensing, pattern recognition, face detection, motion tracking etc. In this paper, wavelet transform is used to extract features from image. The extracted features are then used to train Neural Network. Affine transformation parameters are used to evaluate the similarity measure between the reference and sensed image sets. Neural Network produces registration parameters (translation, rotation and scaling) with respect to reference and sensed image. Mean Absolute Registration Error and Mutual Information is used as evaluation parameters. Proposed technique for image registration is accurate and robust for distorted and noisy images than using DCT and FFT for image registration as shown by experimental results.

Keywords: DCT, FFT, Wavelet Transform, Neural Network, Image Registration

Edition: Volume 5 Issue 8, August 2016

Pages: 1477 - 1480

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How to Cite this Article?

Safia Sadruddin, Dr. Rashid Ali, "Image Registration Using Wavelet Transform", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20161242, Volume 5 Issue 8, August 2016, 1477 - 1480

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