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Image processing/Pattern recognition David Lesage, Jérôme Darbon and Ceyhun Burak Akgul. An Efficient Algorithm for Connected Attribute Thinnings and Thickenings. In the proceedings of International Symposium on Visual Computing pp. 393--394, Lecture Notes in Computer Science Vol. 4292. Springer-Verlag Lake Tahoe, Nevada, USA November 6-8, 2006

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 easyto- implement algorithm for grayscale connected attribute thinnings and thickennings, a subclass of connected filters for the wide range of nonincreasing attributes.We show that our algorithm consumes less memory and is computationally more efficient than other available methods on natural images.
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PublicationForm
Logo: Image processing/Pattern recognition
Category: ImageProcessing
Title: An Efficient Algorithm for Connected Attribute Thinnings and Thickenings
Authors: David Lesage, Jérôme Darbon and Ceyhun Burak Akgul
Type: InConference
Whereprefix: In the proceedings of
Where: International Symposium on Visual Computing
Ref: pp. 393--394, Lecture Notes in Computer Science Vol. 4292. Springer-Verlag
Place: Lake Tahoe, Nevada, USA
Date: November 6-8, 2006
Note:  
Lang: english
Keywords: Mathematical Morphology, Connected Filter, Thinnings, Thickenings
Status: to appear


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