Contour model guided image warping for image interpolation

Wen Shiang Vincent Shih, Wei Chung Lin, Chin Tu Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationTrack C
Subtitle of host publicationApplications and Robotic Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages396-400
Number of pages5
ISBN (Print)081867282X, 9780818672828
DOIs
StatePublished - Jan 1 1996
Event13th International Conference on Pattern Recognition, ICPR 1996 - Vienna, Austria
Duration: Aug 25 1996Aug 29 1996

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume3
ISSN (Print)1051-4651

Other

Other13th International Conference on Pattern Recognition, ICPR 1996
CountryAustria
CityVienna
Period8/25/968/29/96

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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    Shih, W. S. V., Lin, W. C., & Chen, C. T. (1996). Contour model guided image warping for image interpolation. In Track C: Applications and Robotic Systems (pp. 396-400). [546977] (Proceedings - International Conference on Pattern Recognition; Vol. 3). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPR.1996.546977