This test suite uses the images from a comparison paper by Ohanian and Dubes (1992). The suite comprises
four types of images with four examples of each. The image types are
fractal, Markov random fields, leather, and painted surface. The MRF
and fractal images are artificially generated while the painted
surface and leather images are natural textures. Four 4-way tests
(one test discriminating the examples within each image type) and one
16-way test (discriminating all 16 example images).
Test | Images |
---|---|
fractal | fractal.1 fractal.2 fractal.3 fractal.4 |
mrf | mrf.1 mrf.2 mrf.3 mrf.4 |
leather | leather.1 leather.2 leather.3 leather.4 |
paint | paint1 paint2 paint3 paint4 |
all16 | fractal.1 fractal.2 fractal.3 fractal.4 mrf.1 mrf.2 mrf.3 mrf.4 leather.1 leather.2 leather.3 leather.4 paint1 paint2 paint3 paint4 |
NOTE:Ohanian and Dubes (1992) use a k-nearest neighbour classifier with leave-one-out testing. Leave-one-out testing is achievable with the framework but it can not be done easily. Some modification to the algorithm functionality is required to implement this.
The following note from Professor Dubes was supplied with the images.
--- Placed here at Dr. Dubes' request on 22 June 1993 by John Lees The images are those used in the paper "Performance Evaluation for four classes of textural features" by Ohanian and Dubes, Pattern Recognition v. 25, 1992. Images are described on p. 824 of the paper. A total of 16 images were used: 4 fractal, 4 Gaussian Markov Random Field, 4 natural images of pieces of leather and 4 natural images of painted surfaces. ---