A Supervised Approach to the Evaluation of Image Segmentation Methods (1995)
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| Venue: | BP 101 - 54602 Villers-ls-Nancy Cedex (France) Unit de recherche INRIA Rennes : IRISA, Campus universitaire de Beaulieu - 35042 Rennes Cedex (France) Unit de recherche INRIA Rhne-Alpes : 655, avenue de l'Europe - 38330 Montbonnot-St-Martin (France) Unit d |
| Citations: | 12 - 1 self |
BibTeX
@INPROCEEDINGS{Yang95asupervised,
author = {Luren Yang and Fritz Albregtsen and Tor Lønnestad and Per Grøttum},
title = {A Supervised Approach to the Evaluation of Image Segmentation Methods},
booktitle = {BP 101 - 54602 Villers-ls-Nancy Cedex (France) Unit de recherche INRIA Rennes : IRISA, Campus universitaire de Beaulieu - 35042 Rennes Cedex (France) Unit de recherche INRIA Rhne-Alpes : 655, avenue de l'Europe - 38330 Montbonnot-St-Martin (France) Unit d},
year = {1995},
pages = {759--765},
publisher = {Springer}
}
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Abstract
Evaluation is an important step in developing a segmentation algorithm for an image analysis system. We first give a review of segmentation evaluation methods, and then demonstrate how a supervised evaluation method based on shape features is used in the development of a segmentation algorithm for fluorescence images of white blood cells.
