TY - GEN
T1 - Nonlinear shape restoration of distorted images with coons transformation
AU - Lee, Seong Whan
AU - Kim, Eun Soon
AU - Tang, Yuan Y.
N1 - Funding Information:
This work was supported by the Directed basic Research Fund of Korea Science and Engineering Foundation.
Publisher Copyright:
© 1995 IEEE.
PY - 1995
Y1 - 1995
N2 - 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 of that when the function is known, it remains difficult to compute or estimate the parameters necessary for the restoration. To overcome this problem, in this paper, Coons transformation utilizing the boundary functions for the distorted images have been used to approximate the exact distortion function. The boundary functions are calculated using B-splinc curve interpolation which is coincided with the necessary condition of major elements that constitute a Coons transformation.
AB - 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 of that when the function is known, it remains difficult to compute or estimate the parameters necessary for the restoration. To overcome this problem, in this paper, Coons transformation utilizing the boundary functions for the distorted images have been used to approximate the exact distortion function. The boundary functions are calculated using B-splinc curve interpolation which is coincided with the necessary condition of major elements that constitute a Coons transformation.
UR - http://www.scopus.com/inward/record.url?scp=85063356762&partnerID=8YFLogxK
U2 - 10.1109/ICDAR.1995.598984
DO - 10.1109/ICDAR.1995.598984
M3 - Conference contribution
AN - SCOPUS:85063356762
T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
SP - 235
EP - 238
BT - Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995
PB - IEEE Computer Society
T2 - 3rd International Conference on Document Analysis and Recognition, ICDAR 1995
Y2 - 14 August 1995 through 16 August 1995
ER -