Paper
1 May 1994 Variations in the morphological top-hat transform to improve the statistical robustness for analyzing pigmented patches on flower petals
Stephen J. Impey, J. Andrew Bangham
Author Affiliations +
Proceedings Volume 2180, Nonlinear Image Processing V; (1994) https://doi.org/10.1117/12.172563
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States
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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen J. Impey and J. Andrew Bangham "Variations in the morphological top-hat transform to improve the statistical robustness for analyzing pigmented patches on flower petals", Proc. SPIE 2180, Nonlinear Image Processing V, (1 May 1994); https://doi.org/10.1117/12.172563
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KEYWORDS
Bandpass filters

Digital filtering

Image filtering

Linear filtering

Electronic filtering

Gaussian filters

Statistical analysis

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