@conference {933, title = {Order-independent sequential thinning in arbitrary dimensions}, booktitle = {Signal and Image Processing and Applications (SIPA)}, year = {2011}, note = {doi: 10.2316/P.2011.738-021}, month = {June 2011}, pages = {129 - 134}, publisher = {IASTED - Acta Press}, organization = {IASTED - Acta Press}, type = {Conference paper}, address = {Crete, Greek}, abstract = {

Skeletons are region based shape descriptors that play important role in shape representation. This paper introduces a novel sequential thinning approach for n-dimensional binary objects (n =1,2,3, ...). Its main strength lies in its order--independency, i.e., it can produce the same skeletons for any visiting orders of border points. Furthermore, this is the first scheme in this field that is also applicable for higher dimensions.

}, doi = { 10.2316/P.2011.738-021}, author = {P{\'e}ter Kardos and K{\'a}lm{\'a}n Pal{\'a}gyi}, editor = {Ioannis Andreadis and M Zervakis} }