Empirical evaluation of dissimilarity measures for color and texture
Publication
, Journal Article
Puzicha, J; Buhmann, JM; Rubner, Y; Tomasi, C
Published in: Proceedings of the IEEE International Conference on Computer Vision
January 1, 1999
This paper empirically compares nine image dissimilarity measures that are based on distributions of color and texture features summarizing over 1,000 CPU hours of computational experiments. Ground truth is collected via a novel random sampling scheme for color, and via an image partitioning method for texture. Quantitative performance evaluations are given for classification, image retrieval, and segmentation tasks, and for a wide variety of dissimilarity measures. It is demonstrated how the selection of a measure, based on large scale evaluation, substantially improves the quality of classification, retrieval, and unsupervised segmentation of color and texture images.
Duke Scholars
Published In
Proceedings of the IEEE International Conference on Computer Vision
ISSN
1550-5499
Publication Date
January 1, 1999
Volume
2
Start / End Page
1165 / 1172
Citation
APA
Chicago
ICMJE
MLA
NLM
Puzicha, J., Buhmann, J. M., Rubner, Y., & Tomasi, C. (1999). Empirical evaluation of dissimilarity measures for color and texture. Proceedings of the IEEE International Conference on Computer Vision, 2, 1165–1172.
Puzicha, J., J. M. Buhmann, Y. Rubner, and C. Tomasi. “Empirical evaluation of dissimilarity measures for color and texture.” Proceedings of the IEEE International Conference on Computer Vision 2 (January 1, 1999): 1165–72.
Puzicha J, Buhmann JM, Rubner Y, Tomasi C. Empirical evaluation of dissimilarity measures for color and texture. Proceedings of the IEEE International Conference on Computer Vision. 1999 Jan 1;2:1165–72.
Puzicha, J., et al. “Empirical evaluation of dissimilarity measures for color and texture.” Proceedings of the IEEE International Conference on Computer Vision, vol. 2, Jan. 1999, pp. 1165–72.
Puzicha J, Buhmann JM, Rubner Y, Tomasi C. Empirical evaluation of dissimilarity measures for color and texture. Proceedings of the IEEE International Conference on Computer Vision. 1999 Jan 1;2:1165–1172.
Published In
Proceedings of the IEEE International Conference on Computer Vision
ISSN
1550-5499
Publication Date
January 1, 1999
Volume
2
Start / End Page
1165 / 1172