NDLI: Image Registration in Hough Space Using Gradient of Images

Content Provider	IEEE Xplore Digital Library
Author	Shams, Ramtin Barnes, Nick Hartley, Richard
Copyright Year	2007
Abstract	We present an accurate and fast method for rigid registration of images with large non-overlapping areas using a Hough transformation of image gradients. The Hough space representation of gradients can be used to separate estimation of the rotation parameter from the translation. It also allows us to estimate transformation parameters for 2D images over a 1D space, hence reducing the computational complexity. The cost functions in the Hough domain have larger capture ranges compared to the cost functions in the intensity domain. This allows the optimization to converge better in the presence of large misalignments. We show that the combination of estimating registration parameters in the Hough domain and fine tuning the results in the intensity domain significantly improves performance of the application compared to the conventional intensitybased multi-resolution methods.
Starting Page	226
Ending Page	232
File Size	3192224
Page Count	7
File Format	PDF
ISBN	0769530672
DOI	10.1109/DICTA.2007.4426800
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-03
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image registration Parameter estimation Image converters Australia Council Digital images Computer applications Cost function Computational complexity Remote monitoring Biomedical imaging
Content Type	Text
Resource Type	Article

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