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Proceedings Paper

Image Skeletonization For Object Position Measurement
Author(s): Budimir Zvolanek; Chung Chang Lee
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Paper Abstract

The application of image skeletonization to object position measurement is described. A cellular logic Medial Axis Transform (MAT) and an improved Distance Transform (DT) are compared to skeletonize either multi-labeled or binary region images. The region images used for experiments were produced by segmentation of video imagery or were synthetically-generated. The MAT produced an eight-connected pixel-thin skeleton but was slower than the DT which produced a skeleton with gaps and was not pixel thin. A selective branch erosion (SBERO) technique is described that can remove skeleton branches and identify a unique fiducial point on the skeleton for object position offset measurement in the image. The combination of a skeletonization algorithm with the SBERO can be a powerful method for a specified skeletal structure of a branched shape object in a complex image.

Paper Details

Date Published: 17 March 1983
PDF: 6 pages
Proc. SPIE 0359, Applications of Digital Image Processing IV, (17 March 1983); doi: 10.1117/12.965951
Show Author Affiliations
Budimir Zvolanek, McDonnell Douglas Astronautics Company (United States)
Chung Chang Lee, McDonnell Douglas Astronautics Company (United States)

Published in SPIE Proceedings Vol. 0359:
Applications of Digital Image Processing IV
Andrew G. Tescher, Editor(s)

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