View source for Publications/lesage.06.isvc

{{Publication
| published = true
| date = 2006-08-09
| authors = David Lesage, Jérôme Darbon, Ceyhun Burak Akgül
| title = An Efficient Algorithm for Connected Attribute Thinnings and Thickenings
| booktitle = Proceedings of the second International Conference on Visual Computing
| address = Lake Tahoe, Nevada, USA
| lrdeprojects = Olena
| pages = 393–404
| volume = 4292
| series = Lecture Notes in Computer Science Series
| publisher = Springer-Verlag
| abstract = Connected attribute filters are anti-extensive morphological operators widely used for their ability of simplifying the image without moving its contours. In this paper, we present a fast, versatile and easy-to-implement algorithm for grayscale connected attribute thinnings and thickennings, a subclass of connected filters for the wide range of non-increasing attributes. We show that our algorithm consumes less memory and is computationally more efficient than other available methods on natural images.
| lrdekeywords = Image
| lrdenewsdate = 2006-08-09
| type = inproceedings
| id = lesage.06.isvc
| bibtex = 
@InProceedings<nowiki>{</nowiki>	  lesage.06.isvc,
  author	= <nowiki>{</nowiki>David Lesage and J\'er\^ome Darbon and Ceyhun Burak Akg\"ul<nowiki>}</nowiki>,
  title		= <nowiki>{</nowiki>An Efficient Algorithm for Connected Attribute Thinnings
		  and Thickenings<nowiki>}</nowiki>,
  booktitle	= <nowiki>{</nowiki>Proceedings of the second International Conference on
		  Visual Computing<nowiki>}</nowiki>,
  year		= 2006,
  address	= <nowiki>{</nowiki>Lake Tahoe, Nevada, USA<nowiki>}</nowiki>,
  month		= nov,
  pages		= <nowiki>{</nowiki>393--404<nowiki>}</nowiki>,
  volume	= 4292,
  series	= <nowiki>{</nowiki>Lecture Notes in Computer Science Series<nowiki>}</nowiki>,
  publisher	= <nowiki>{</nowiki>Springer-Verlag<nowiki>}</nowiki>,
  abstract	= <nowiki>{</nowiki>Connected attribute filters are anti-extensive
		  morphological operators widely used for their ability of
		  simplifying the image without moving its contours. In this
		  paper, we present a fast, versatile and easy-to-implement
		  algorithm for grayscale connected attribute thinnings and
		  thickennings, a subclass of connected filters for the wide
		  range of non-increasing attributes. We show that our
		  algorithm consumes less memory and is computationally more
		  efficient than other available methods on natural images.<nowiki>}</nowiki>
<nowiki>}</nowiki>

}}