@article{0ac89aef81134bd0876574726506e711,
title = "Decomposition of arbitrary gray-scale morphological structuring elements",
abstract = "Mathematical morphology has been widely used for many applications in image processing and analysis. Most image processing architectures adapted to morphological operations use structuring elements of a limited size. Therefore, difficulties arise when we deal with a large-sized structuring element. In this paper, we present algorithms for the decomposition of arbitrary gray-scale structuring elements into combined dilations or maximum operators of smaller structuring components. Our method does not need to perform additional pre-processes, such as checking the type of structuring elements and the decomposition rules. Furthermore, it is suited for a parallel pipelined architecture.",
keywords = "Decomposition, Image processing, Mathematical morphology, Structuring element",
author = "Shih, {Frank Y.} and Wu, {Yi Ta}",
note = "Funding Information: Dr. Shih is currently on the Editorial Board of the International Journal of Pattern Recognition, the International Journal of Pattern Recognition and Artificial Intelligence, the International Journal of Internet Protocol Technology, and the Journal of Internet Technology. He previously served as an Associate Editor of the International Journal of Systems Integration and the International Journal of Information Sciences. He has contributed as a steering member, committee member, and session chair for numerous technical conferences and workshops. He was the recipient of the Research Initiation Award from the National Science Foundation in 1991. He won the Honorable Mention Award from the International Pattern Recognition Society for Outstanding Paper and also won the Best Paper Award in the International Symposium on Multimedia Information Processing. He has received several awards for distinguished research at New Jersey Institute of Technology. He has served several times in the Proposal Review Panel of the National Science Foundation on Computer Vision and Machine Intelligence. ",
year = "2005",
month = dec,
doi = "10.1016/j.patcog.2005.04.003",
language = "English (US)",
volume = "38",
pages = "2323--2332",
journal = "Pattern Recognition",
issn = "0031-3203",
publisher = "Elsevier Limited",
number = "12",
}