Curve and surface fitting with splines
Curve and surface fitting with splines
Modern image processing: warping, morphing, and classical techniques
Modern image processing: warping, morphing, and classical techniques
An Exact Method for Computing the Area Moments of Wavelet and Spline Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Warping
Morphing Magic
B-spline signal processing. I. Theory
IEEE Transactions on Signal Processing
Image Registration Based on Lifting Process: An Application to Digital Subtraction Radiography
IEEE Transactions on Information Technology in Biomedicine
A pyramid approach to subpixel registration based on intensity
IEEE Transactions on Image Processing
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Digital subtraction radiography (DSR) has been demonstrated to improve the detection of minute bone changes during the diagnosis of Periodontal diseases. However, during a dental X-ray session, it is not possible to control the bending of the X-ray film when installed in a patient's mouth. This leads to errors in the subsequent analysis. Error compensation can be done by a warping transformation, in conjunction with a reference wire grid attached to the X-ray film. However, the wire grid has to be attached to the film manually. The grid itself is a source of error in that it obscures the image and causes information loss. In this paper we propose a compensation method without the use of a reference grid. It is a simple algorithm based on B-spline interpolation and image scaling. No prior information about the bending is required. When compared with warping transformation, the method induces less disturbance to the pixel values during the compensation process. As a result, the proposed method produces more accurate image data for subsequent analysis.