Morphological image coding via bit-plane decomposition and a new skeleton representation

Published

Conference Paper

© Proceedings - 17th Convention of Electrical and Electronics Engineers in Israel, EEIS 1991. All rights reserved. A new approach for image coding based on bit-plane decomposition and binary morphological operations is presented. The image is first processed by an errordiffusion technique in order to reduce the number of bitplanes without a significant quality degradation. The bitplanes of the resulting image are converted to Gray code and are represented by a modified morphological skeleton which uses an increasing size structuring element. Redundancy in this representation is reduced with an algorithm motivated by a Geometric Sampling Theorem which we present. These reduced modified morphological skeletons are coded with an entropy coding scheme which was particularly devised for efficient skeleton coding. A postprocessing operation, as well as the possibility of geometric progressive transmission, are also discused.

Full Text

Duke Authors

Cited Authors

  • Sapiro, G; Malah, D

Published Date

  • January 1, 1991

Published In

  • Proceedings 17th Convention of Electrical and Electronics Engineers in Israel, Eeis 1991

Start / End Page

  • 174 - 177

International Standard Book Number 10 (ISBN-10)

  • 0879426780

International Standard Book Number 13 (ISBN-13)

  • 9780879426781

Digital Object Identifier (DOI)

  • 10.1109/EEIS.1991.217670

Citation Source

  • Scopus