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Perimeter estimation based on grey level object representation

Sladoje, Natasa (author)
Uppsala universitet,Centrum för bildanalys,Datoriserad bildanalys,Faculty of Engineering, University of Novi Sad, Serbia
Lindblad, Joakim (author)
Uppsala universitet,Centrum för bildanalys,Datoriserad bildanalys
 (creator_code:org_t)
Uppsala, Sweden : Centre for Image Analysis, 2008
English 31 s.
Series: Rapport, 1100-6641 ; 33
  • Reports (other academic/artistic)
Abstract Subject headings
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  • We present a novel method that provides an accurate and precise estimate of the length of the boundary (perimeter) of an object, by taking into account gray-levels on the boundary of the digitization of the same object. Assuming a model where pixel intensity is proportional to the coverage of a pixel, we show that the presented method provides error-free measurements of the length of straight boundary segments in the case of non-quantized pixel values. For a more realistic situation, where pixel values are quantized, we derive optimal estimates that minimize the maximal estimation error. We show that the estimate converges toward a correct value as the number of gray-levels tends toward infinity. The method is easy to implement; we provide complete pseudo-code. Since the method utilizes only a small neighborhood, it is very easy to parallelize. We evaluate the estimator on a set of concave and convex shapes with known perimeters, digitized at increasing resolution.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)

Keyword

Image analysis
Bildanalys
Computerized Image Analysis
Datoriserad bildanalys

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vet (subject category)
rap (subject category)

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Sladoje, Natasa
Lindblad, Joakim
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NATURAL SCIENCES
NATURAL SCIENCES
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Rapport,
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Uppsala University

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