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Empirical discrepancy measures for the evaluation of segmentation results

✍ Scribed by Tobias Heimann; Matthias Thorn; Tobias Kunert; Hans-Peter Meinzer


Book ID
116536469
Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
29 KB
Volume
1268
Category
Article
ISSN
0531-5131

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This paper empirically compares nine families of image dissimilarity measures that are based on distributions of color and texture features summarizing over 1000 CPU hours of computational experiments. Ground truth is collected via a novel random sampling scheme for color, and by an image partitioni