Motion estimation in digital angiographic images using skeletons

J. Y. Kwak; Serafim N. Efstratiadis; Aggelos K. Katsaggelos; Alan V. Sahakian; Barry J. Sullivan; Steven Swiryn; David C. Hueter; Thomas Frohlich

doi:10.1117/12.25776

1 March 1991 Motion estimation in digital angiographic images using skeletons

J. Y. Kwak, Serafim N. Efstratiadis, Aggelos K. Katsaggelos, Alan V. Sahakian, Barry J. Sullivan, Steven Swiryn, David C. Hueter, Thomas Frohlich

Author Affiliations +

Proceedings Volume 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90; (1991) https://doi.org/10.1117/12.25776
Event: Applications of Optical Engineering: Proceedings of OE/Midwest '90, 1990, Rosemont, IL, United States

Abstract

This paper deals with the estimation of the motion field in digital angiographic sequences. An approach is developed according to which each frame is first segmented into a moving object of interest and the background. The original images are converted into binary images by using a Gaussian smoothing filter and thresholding. In the binary images pixels in moving objects have the value of " 1" and pixels in the background have the value of " 0" . The moving objects in the binary images are thinned to skeletons with unit width by using the Safe-Point Thinning Algorithm (SPTA) with restriction windows we introduce. Then a block-matching algorithm is used in estimating the motion for the pixels which belong to the skeleton. This approach to motion estimation results in reduced computations since only binary multiplications need to be performed for determining the match between two blocks. Therefore an effective searching method is proposed for finding the direction of displacement in successive skeleton frames. Very satisfactory results are obtained by applying the algorithm to 64 x 64. pixel digital angiographic image sequences. 1

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J. Y. Kwak, Serafim N. Efstratiadis, Aggelos K. Katsaggelos, Alan V. Sahakian, Barry J. Sullivan, Steven Swiryn, David C. Hueter, and Thomas Frohlich "Motion estimation in digital angiographic images using skeletons", Proc. SPIE 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90, (1 March 1991); https://doi.org/10.1117/12.25776

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