TY - GEN
T1 - Contour model guided image warping for image interpolation
AU - Shih, Wen Shiang Vincent
AU - Lin, Wei Chung
AU - Chen, Chin Tu
PY - 1996/1/1
Y1 - 1996/1/1
N2 - An interpolation method, morphological field morphing, using contours of organs as the control parameters is proposed to recover the intensity information in the physical gaps of serial cross-sectional images. Contour information derived from a contour-model-based segmentation process is processed and used as the control parameters to warp the corresponding regions in both input images into comparable shapes. In this way, the reliability of establishing the correspondence among different segments of the same organs is improved and the intensity information for the interpolated intermediate slices can be derived more faithfully. In comparison with the existing intensity interpolation algorithms that only search for corresponding points based on intensity information, this method provides more meaningful correspondence relationships by warping corresponding regions in images into similar shapes before resampling to account for significant shape differences.
AB - An interpolation method, morphological field morphing, using contours of organs as the control parameters is proposed to recover the intensity information in the physical gaps of serial cross-sectional images. Contour information derived from a contour-model-based segmentation process is processed and used as the control parameters to warp the corresponding regions in both input images into comparable shapes. In this way, the reliability of establishing the correspondence among different segments of the same organs is improved and the intensity information for the interpolated intermediate slices can be derived more faithfully. In comparison with the existing intensity interpolation algorithms that only search for corresponding points based on intensity information, this method provides more meaningful correspondence relationships by warping corresponding regions in images into similar shapes before resampling to account for significant shape differences.
UR - http://www.scopus.com/inward/record.url?scp=84898807345&partnerID=8YFLogxK
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U2 - 10.1109/ICPR.1996.546977
DO - 10.1109/ICPR.1996.546977
M3 - Conference contribution
AN - SCOPUS:84898807345
SN - 081867282X
SN - 9780818672828
T3 - Proceedings - International Conference on Pattern Recognition
SP - 396
EP - 400
BT - Track C
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Pattern Recognition, ICPR 1996
Y2 - 25 August 1996 through 29 August 1996
ER -