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Proceedings Paper

Reconstruction of step edges with subpixel accuracy in gray-level images
Author(s): Jose M. Sebastian y Zuniga; Oscar Reinoso; Rafael Aracil; David Garcia; Fernando Torres-Medina
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Paper Abstract

Many inspection methods using computer vision have been developed, although in many of them the results obtained do not have the desired accuracy. In order to increase the system precision, two different solutions can be considered: the use of a more powerful image acquisition equipment and a solution that consists in developing algorithms that allow us to increase the accuracy of certain characteristics of the image. This paper is focused on setting a model that takes into account all the different signals involved in the image processing. It also defines the basis for the reconstruction of images in those areas with high content of information, such as edges, and more specifically those edges with a high change of intensity. In the image acquisition process, the input information is perfectly defined in a continuous domain and a discrete image is obtained as output, although distorted by the effects of the lenses, electrical sensor and the digitizer. This paper defines the conditions that the sampling process must satisfy in order to make possible the reconstruction of step edges using non-linear reconstruction filters in gray level images.

Paper Details

Date Published: 31 October 1997
PDF: 12 pages
Proc. SPIE 3170, Image Reconstruction and Restoration II, (31 October 1997); doi: 10.1117/12.279715
Show Author Affiliations
Jose M. Sebastian y Zuniga, Polytechnical Univ. of Madrid (Spain)
Oscar Reinoso, Polytechnical Univ. of Madrid (Spain)
Rafael Aracil, Polytechnical Univ. of Madrid (Spain)
David Garcia, Polytechnical Univ. of Madrid (Spain)
Fernando Torres-Medina, Univ. of Alicante (Spain)


Published in SPIE Proceedings Vol. 3170:
Image Reconstruction and Restoration II
Timothy J. Schulz, Editor(s)

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