8 datasets found

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...

The dataset used in the paper is the Kylberg texture database, which contains 240 fully-textured images belonging to 6 different substances.

Multi-class texture analysis in colorectal cancer histology.

Microscopic examination of tissues or histopathology is one of the diagnostic procedures for detecting colorectal cancer. The pathologist involved in such an examination usually...

The timber species dataset from the DRC, focusing on texture features extracted from distinct microscopic cross-sections, which have shown notable discriminative potential in...

The timber species dataset from the Democratic Republic of Congo (DRC) provided by the Belgian Royal Museum for Central Africa (RMCA) focusing on texture features extracted from...

The dataset used in the paper for image denoising and image restoration tasks.

The dataset used in the paper is CUReT, which consists of 61 texture categories, where each category has images of the same material with different poses, illumination,...