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Proceedings Paper

Variations in the morphological top-hat transform to improve the statistical robustness for analyzing pigmented patches on flower petals
Author(s): Stephen J. Impey; J. Andrew Bangham
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Paper Abstract

It is frequently necessary to preprocess images to remove the background. In this paper a controlled study of background removal by different types of filter is presented. The bandpass characteristics of each type of filter are optimized, and it is shown that the morphological top- hat transform as usually implemented is very sensitive to noise but that replacing the opening (or closing) step by a median sieve (a cascade of median filters with structuring elements of increasing size) removes the background in a much more robust fashion.

Paper Details

Date Published: 1 May 1994
PDF: 6 pages
Proc. SPIE 2180, Nonlinear Image Processing V, (1 May 1994); doi: 10.1117/12.172563
Show Author Affiliations
Stephen J. Impey, Univ. of East Anglia (United Kingdom)
J. Andrew Bangham, Univ. of East Anglia (United Kingdom)

Published in SPIE Proceedings Vol. 2180:
Nonlinear Image Processing V
Edward R. Dougherty; Jaakko Astola; Harold G. Longbotham, Editor(s)

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