Gradient Intensity: A New Mutual Information-Based Registration Method
Conventional mutual information (MI)-based registration using pixel intensities is time-consuming and ignores spatial information, which can lead to misalignment. We propose a method to overcome these limitation by acquiring initial estimates of transformation parameters. We introduce the concept of 'gradient intensity' as a measure of spatial strength of an image in a given direction. We determine the rotation parameter by maximizing the MI between gradient intensity histograms. Calculation of...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR 2007)|
|01_Shams_Gradient_Intensity:_A_New_2007.pdf||1.13 MB||Adobe PDF||Request a copy|
|02_Shams_Gradient_Intensity:_A_New_2007.pdf||91.63 kB||Adobe PDF||Request a copy|
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