Publication details

Conference Paper (international conference)

Textural Features Sensitivity to Scale and Illumination Variations

Vácha Pavel, Haindl Michal

: Advances in Computational Collective Intelligence : 14th International Conference, ICCCI 2022, p. 237-249 , Eds: Badica Costin

: International Conference on Computational Collective Intelligence (ICCCI 2022) /14./, (Hammamet, TN, 20220926)

: GA19-12340S, GA ČR

: Markovian Textural Features, Scale Sensitivity, Illumination Sensitivity

: 10.1007/978-3-031-16210-7_19


(eng): Visual scene recognition is predominantly based on visual textures representing an object's material properties. However, the single material texture varies in scale and illumination angles due to mapping an object's shape. We present a comparative study of the color histogram, Gabor, opponent Gabor, Local Binary Pattern (LBP), and wide-sense Markovian textural features concerning their sensitivity to simultaneous scale and illumination variations. Due to their application dominance, these textural features are selected from more than \n50 published textural features. Markovian features are information preserving, and we demonstrate their superior performance for scale and illumination variable observation conditions over the standard alternative textural features. We bound the scale variation by double size, and illumination variation includes illumination spectra, acquisition devices, and 35 illumination directions spanned above a sample.

: BD

: 20205