Morphological skeleton representation and coding of binary images
- 1 January 1984
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 9, 523-526
- https://doi.org/10.1109/icassp.1984.1172472
Abstract
This paper presents a preliminary study on using Mathematical Morphology to represent and code a binary or a grey-tone image by parts of its skeleton, a thinned version of the image. An image can be uniquely decomposed into skeleton components, and then reconstructed by dilating these components. Since, for a certain category of imagery, the skeleton components possess a loweKeywords
This publication has 2 references indexed in Scilit:
- Skeletonization in Quantitative MetallographyPublished by Springer Nature ,1980
- Coding of Two-Tone ImagesIEEE Transactions on Communications, 1977