Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 5, Pages: 1-3
M. Deepa1* and T. Saravanan 2
1Bharath University, Chennai - 600073, Tamil Nadu, India; [email protected] 2Department of ETC, Bharath University, Chennai - 600073, Tamil Nadu, India
*Author For Correspondence
M. Deepa Bharath University, Chennai - 600073, Tamil Nadu, India; [email protected]
The main objective of the paper is automatic image registration using discrete wavelet transform. In this paper to register the images I use the discrete wavelet transform. The characteristic of the approach is that the image is sub divided in to four components that as Less-Less, Less-High, High-Less and High-High from that we took Less-Less for the further processing. The DWT is applied for both the reference and sensed image to extract the LL components and the feature power points are extracted using scale invariant feature transform to match the two images. The simulation results done using MATLAB.
Keywords: Discrete Wavelet Transform, Image Registration, Rotation, SIFT, Scaling, Translation
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