1 October 1997 Probabilistic-relaxation-based postprocessing for the detection of lines
Maria Petrou, Petros Papachristou, Josef Kittler
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We propose a method for line extraction in complex images. We consider a two-stage process. First, the initial measurements at each image point are given by combining the image convolution outputs obtained from directional filters. Second, a postprocessing stage, based on probabilistic relaxation, refines the initial labeling using contextual information. The major differences from other similar approaches are the explicit inclusion of the relative measurements between pixels and the careful modeling of the probability density functions of these measurements.
Maria Petrou, Petros Papachristou, and Josef Kittler "Probabilistic-relaxation-based postprocessing for the detection of lines," Optical Engineering 36(10), (1 October 1997). https://doi.org/10.1117/1.601507
Published: 1 October 1997
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Cited by 1 scholarly publication.
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KEYWORDS
Convolution

Binary data

Image processing

Linear filtering

Optical engineering

Edge detection

Optimal filtering

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