Texture classification (32 Brodatz textures)

Description:

Image data for texture classification involving 32 textures from the Brodatz album.

Examples of images in the dataset can be seen below.

http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_bark.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_beachsand.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_beans.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_burlap.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_d10.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_d11.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_d4.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_d5.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_d51.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_d52.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_d6.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_d95.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_fieldstone.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_grass.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_ice.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_image09.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_image15.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_image17.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_image19.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_paper.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_peb54.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_pigskin.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_pressedcl.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_raffia.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_raffia2.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_reptile.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_ricepaper.gif http://www.ee.oulu.fi/research/imag/texture/image_data/images/h64_seafan.gif

Download images (zip file, about 8 MB)

Original reference for the image data:

[1] Valkealahti K & Oja E (1998). Reduced multidimensional cooccurrence histograms in texture classification. IEEE Transactions on Pattern Analysis and Machine Intelligence 20:90-94.

Our publications where this image data has been used:

[2] Ojala T, Pietikäinen M & Kyllönen J (1999) Gray level cooccurrence histograms via learning vector quantization. Proc. 11th Scandinavian Conference on Image Analysis, Kangerlussuaq, Greenland, 103-108. (Abstract) (Full paper)

[3] Ojala T, Valkealahti K, Oja E & Pietikäinen M (2000) Texture discrimination with multidimensional distributions of signed differences. Proc. Fourth Asian Conference on Computer Vision, Taipei, Taiwan, 2:1082-1088. (Abstract) (Full paper)

[4] Ojala T, Valkealahti K, Oja E & Pietikäinen M (2000) Texture discrimination with multidimensional distributions of signed differences. Pattern Recognition, accepted.

Other publications where this image data has been used:

Acknowledgements:

Detailed information:

Type of problem:

texture classification

Number of texture classes:

32 textures from the Brodatz album

Number of images (samples):

64 images per class (hence 2048 images in total), which comprise following subsets of images: 16 "original" images, 16 rotated versions of the "original" images, 16 scaled versions of the "original" images, 16 rotated and scaled versions of the "original" images

Image size:

64x64 pixels

Image format:

xv (Khoros Visualization image file)

Pixel format:

8 bit monochrome

Preprocessing:

histogram equalization: each 64x64 sample has uniform gray level histogram

Contents of the zip file:

README

This file.

(texture)_(idx)_(type).xv

An image named as follows:

(texture)

texture class (bark, beachsand, beans, burlap, d10, d11, d4, d51, d52, d5, d6, d95, fieldstone, grass, ice, image09, image15, image17, image19, paper, peb54, pigskin, pressedcl, raffia2, raffia, reptile, ricepaper, seafan, straw2, tree, water, woodgrain)

(idx)

running index (0-15) corresponding to the 16 "original" images

(type)

o original,
r rotated,
s scaled,
rs rotated and scaled

ho10_(trial)_train.txt
ho10_(trial)_test.txt

In references [2-4] image data was randomly divided into ten training and testing sets of 1024 images each. These files contain the names of the images used for training and testing in trial (trial) (0-9), respectively.

CMV/TextureClassification (last edited 2011-11-18 13:10:16 by WebMaster)