RawFooT DB: Raw Food Texture Database | Imaging and Vision Laboratory

The Raw Food Texture database (RawFooT) has been specially designed to investigate the robustness of descriptors and classification methods with respect to variations in the lighting conditions, with a particular focus on variations in the color of the illuminant. The database includes images of samples of textures, acquired under 46 lighting conditions which may differ in the light direction, in the illuminant color, in its intensity, or in a combination of these factors. Our classes correspond to 68 samples of raw food, including various kind of meat, fish, cereals, fruit etc: the whole database includes 68 x 46 = 3128 images.

Publications

Combining multiple features for color texture classification
(Claudio Cusano, Paolo Napoletano, Raimondo Schettini) In Journal of Electronic Imaging, volume 25, number 6, pp. 1-9, {SPIE}, 2016.

Download BibTex Doi Project Page

@article{cusano2016combining-multiple,
 author = {Cusano, Claudio and Napoletano, Paolo and Schettini, Raimondo},
 year = {2016},
 pages = {1-9},
 title = {Combining multiple features for color texture classification},
 volume = {25},
 number = {6},
 publisher = {{SPIE}},
 journal = {Journal of Electronic Imaging},
 pdf = {/download/CusanoJei2016.pdf},
 doi = {10.1117/1.JEI.25.6.061410},
 projectref = {http://www.ivl.disco.unimib.it/activities/rawfoot-db-raw-food-texture-database/}}

Evaluating color texture descriptors under large variations of controlled lighting conditions
(Claudio Cusano, Paolo Napoletano, Raimondo Schettini) In Journal of the Optical Society of America A, volume 33, number 1, pp. 17-30, OSA, 2016.

Download BibTex Doi Project Page

@article{Cusano16,
 author = {Cusano, Claudio and Napoletano, Paolo and Schettini, Raimondo},
 year = {2016},
 month = {1},
 pages = {17-30},
 title = {Evaluating color texture descriptors under large variations of controlled lighting conditions},
 volume = {33},
 number = {1},
 publisher = {OSA},
 journal = {Journal of the Optical Society of America A},
 keywords = {Image, analysis, Pattern, recognition, Color, Image, recognition, algorithms, and, filters},
 pdf = {/download/cusano_josaa2016.pdf},
 doi = {10.1364/JOSAA.33.000017},
 projectref = {http://www.ivl.disco.unimib.it/activities/rawfoot-db-raw-food-texture-database/}}

Local Angular Patterns for Color Texture Classification
(Claudio Cusano, Paolo Napoletano, Raimondo Schettini) In New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops, volume 9281 of Lecture Notes in Computer Science, pp. 111-118, Springer International Publishing, 2015.

BibTex Project Page

@inproceedings{cusano2015local-angular,
 author = {Cusano, Claudio and Napoletano, Paolo and Schettini, Raimondo},
 editor = {Murino, Vittorio and Puppo, Enrico and Sona, Diego and Cristani, Marco and Sansone, Carlo},
 year = {2015},
 pages = {111-118},
 title = {Local Angular Patterns for Color Texture Classification},
 volume = {9281},
 publisher = {Springer International Publishing},
 series = {Lecture Notes in Computer Science},
 booktitle = {New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops},
 projectref = {http://www.ivl.disco.unimib.it/activities/rawfoot-db-raw-food-texture-database/}}