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Graeco-Latin squares design for line detection in the presence of correlated noise

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4 Author(s)

In this paper, the problem of detecting narrow lines embedded in correlated noise is investigated. An approach based on the contrast theory is adapted to the four-way Graeco-Latin squares design. The analysis provides a theoretical basis for the comparison of a line detector to other detectors that ignore noise dependence. A new and compensated algorithm is developed for detecting lines oriented in any major direction in a two-dimensional image plane. The four-way design is also shown to remove any background obscuration, and the actual processor is robust, simple, efficient, and suitable for real-time applications. Extensive computer simulations demonstrate the performance of the proposed detector relative to some classical mask-based detectors

Published in:

Image Processing, IEEE Transactions on  (Volume:9 ,  Issue: 4 )

Date of Publication:

Apr 2000

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