Image Skeletonization For Object Position Measurement

Budimir Zvolanek; Chung Chang Lee

doi:10.1117/12.965951

17 March 1983 Image Skeletonization For Object Position Measurement

Budimir Zvolanek, Chung Chang Lee

Proceedings Volume 0359, Applications of Digital Image Processing IV; (1983) https://doi.org/10.1117/12.965951
Event: 26th Annual Technical Symposium, 1982, San Diego, United States

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 to.search for a specified skeletal structure of a branched shape object in a complex image.

Citation Download Citation

Budimir Zvolanek and Chung Chang Lee "Image Skeletonization For Object Position Measurement", Proc. SPIE 0359, Applications of Digital Image Processing IV, (17 March 1983); https://doi.org/10.1117/12.965951

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