@article{(Open Science Index):https://publications.waset.org/pdf/12537,
	  title     = {Wavelet based Image Registration Technique for Matching Dental x-rays},
	  author    = {P. Ramprasad and  H. C. Nagaraj and  M. K. Parasuram},
	  country	= {},
	  institution	= {},
	  abstract     = {Image registration plays an important role in the
diagnosis of dental pathologies such as dental caries, alveolar bone
loss and periapical lesions etc. This paper presents a new wavelet
based algorithm for registering noisy and poor contrast dental x-rays.
Proposed algorithm has two stages. First stage is a preprocessing
stage, removes the noise from the x-ray images. Gaussian filter has
been used. Second stage is a geometric transformation stage.
Proposed work uses two levels of affine transformation. Wavelet
coefficients are correlated instead of gray values. Algorithm has been
applied on number of pre and post RCT (Root canal treatment)
periapical radiographs. Root Mean Square Error (RMSE) and
Correlation coefficients (CC) are used for quantitative evaluation.
Proposed technique outperforms conventional Multiresolution
strategy based image registration technique and manual registration
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {2},
	  number    = {8},
	  year      = {2008},
	  pages     = {1585 - 1588},
	  ee        = {https://publications.waset.org/pdf/12537},
	  url   	= {https://publications.waset.org/vol/20},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 20, 2008},