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Proceedings Paper

Image segmentation via motion vector estimates
Author(s): Aiman Albert Abdel-Malek; Orkun Hasekioglu; John J. Bloomer
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Paper Abstract

In the visual world moving edges in the periphery represent vital pieces of information that directs the human foveation mechanism to selectively gather information around these specific locations. This computationally efficient approach of allocating resources at key locations has inspired computer visionists to develop new target detection and hacking algorithms based on motion detection in image sequences. In this study we implemented a recursive algorithm for estimating motion vector fields for each pixel in a sequence of Digital Subtraction Angiography (DSA) images. Velocity information is used to segment the image and perform linear quadratic and acceleration-based frame interpolation to produce an apparent frame rate increase. Our results demonstrate the feasibility of low-rate digital fluoroscopy hence less exposure risks while preserving image quality. Furthermore the technique can be useful in the medical Picture Archival and Communication Systems (PACS) where image data can be compressed by storing and transmiting only the motion fields associated with the moving pixels. 1.

Paper Details

Date Published: 1 July 1990
PDF: 6 pages
Proc. SPIE 1233, Medical Imaging IV: Image Processing, (1 July 1990); doi: 10.1117/12.18932
Show Author Affiliations
Aiman Albert Abdel-Malek, General Electric Co. (United States)
Orkun Hasekioglu, General Electric Co. (United States)
John J. Bloomer, General Electric Co. (United States)


Published in SPIE Proceedings Vol. 1233:
Medical Imaging IV: Image Processing
Murray H. Loew, Editor(s)

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