Image shape restoration based on mathematical transformation is a successful approach to nonlinear distortions in computer vision, robot vision and pattern recognition. The key of this process is to find the distortion function and its inverse function. Usually, the distortion function is unknown or unclear. Even in the case where the function is known, it remains difficult to compute or estimate the parameters necessary for the restoration. To overcome this problem, Coons transformation utilizing boundary functions for the distorted images have been used to approximate the exact distortion function. The boundary functions are calculated using B-spline curve interpolation which is coincided with the necessary condition of major elements that constitute a Coons transformation.
Nonlinear shape restoration of distorted images with Coons transformation
Proceedings of 3rd International Conference on Document Analysis and Recognition ; 1 ; 235-238 vol.1
1995-01-01
360030 byte
Conference paper
Electronic Resource
English
Nonlinear Shape Restoration of Distorted Images with Coons Transformation
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