An Efficient Algorithm for Connected Attribute Thinnings and Thickenings

Authors

David Lesage, Jérôme Darbon, Ceyhun Burak Akgül

Where

Proceedings of the second International Conference on Visual Computing

Place

Lake Tahoe, Nevada, USA

Type

inproceedings

Publisher

Springer-Verlag

Projects

Image"Image" is not in the list (Vaucanson, Spot, URBI, Olena, APMC, Tiger, Climb, Speaker ID, Transformers, Bison, ...) of allowed values for the "Related project" property.

Keywords

Image

Date

2006-08-09

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.

Bibtex (lrde.bib)

@InProceedings{	  lesage.06.isvc,
  author	= {David Lesage and J\'er\^ome Darbon and Ceyhun Burak Akg\"ul},
  title		= {An Efficient Algorithm for Connected Attribute Thinnings
		  and Thickenings},
  booktitle	= {Proceedings of the second International Conference on
		  Visual Computing},
  year		= 2006,
  address	= {Lake Tahoe, Nevada, USA},
  month		= nov,
  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.}
}