Convex combination of grouping functions for image thresholding. Selection of weighting vectors
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- Thresholding grouping function convex combination
In this work we present a thresholding algorithm for greyscale images. Our proposal is based on the use of grouping functions to find the best threshold. These functions are able to measure the membership of a grey intensity to the background or to the object of the image, so the best threshold is the one associated with the highest grouping value. To avoid the hard task concerning the choice of a suitable grouping function for any given image, we propose to use a combination of several of them. We study different ways of choosing the weights for this combination.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Aranzazu Jurio AU - Miguel Pagola AU - Daniel Paternain AU - Nicolas Madrid AU - Humberto Bustince PY - 2013/08 DA - 2013/08 TI - Convex combination of grouping functions for image thresholding. Selection of weighting vectors BT - Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13) PB - Atlantis Press SP - 334 EP - 341 SN - 1951-6851 UR - https://doi.org/10.2991/eusflat.2013.48 DO - https://doi.org/10.2991/eusflat.2013.48 ID - Jurio2013/08 ER -