Monomodal Brain Image Registration using Modified Adaptive Polar Transform

D. Sasikala1 and R. Neelaveni2

1Department of Computer science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu, India -638401.

2Department of Electrical and Electronics Engineering, PSG College of Technology, Peelamedu, Coimbatore, Tamilnadu, India -641014


Image registration is of great concern in medicine, hence a number of methods have been proposed. This paper suggests an approach for medical image registration using Modified Adaptive Polar Transform. This algorithm registers images of the mono modalities for CT or MRI images. This unique transform is adjusted to explore periodic signal components and gives the benefit of being independent of the window length. The performance of the Modified Gabor Wavelet Transform (MGWT) with other methods is examined. The outcomes prove that MGWT outperforms every judged model-independent technique with reverence to detection precision. These consequences specify that the basis of slightest fraction of the recognition inaccuracies formed by the preceding schemes is the predetermined operational extent. The latest system not only keeps away from this cause of errors but also formulates a tool accessible intended for in depth investigation.

Keywords: Adaptive polar transform, Modified adaptive polar transform, Wavelet transform, Translation, Rotation, Scaling.

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