Relational Features for Texture Classification.

Texture features play an important role in facilitating various applications, for instance, image retrieval and object recognition. In this work, we investigate the relational features as a texture descriptor in classifying materials and visual textures from their appearance. The relational features used in this paper are constructed by histogramming the values extracted for each point within an image with fuzzy histogram. To test the performance of relational features, two benchmarks were used which have a variety of poses and conditions. Despite the challenging occurrence in both benchmarks, impressive results were achieved by using the relational features.