Feature selection and mapping of local binary pattern for texture classification
Local binary pattern is one of the most known descriptors, which is used for texture
classification. Although completed local binary pattern is seemingly the most precise variant …
classification. Although completed local binary pattern is seemingly the most precise variant …
[HTML][HTML] Texture and material classification with multi-scale ternary and septenary patterns
E Rachdi, Y Rhazi, C Meurie - Journal of King Saud University-Computer …, 2023 - Elsevier
This paper ideates, inspired by LBP and its variants, a novel local feature extraction operator
for texture classification, referred to as Multi-scale Ternary and Septenary Pattern (MTSP) …
for texture classification, referred to as Multi-scale Ternary and Septenary Pattern (MTSP) …
Surface curvature based completed local ternary pattern for texture image classification
X Chen, Y Zhang, Z Zhou - International Journal of …, 2023 - inderscienceonline.com
The curvature of two-dimensional function can describe the degree of surface curvature.
When an image is treated as a discrete two-dimensional function, image curvature describes …
When an image is treated as a discrete two-dimensional function, image curvature describes …
Satellite Imagery Retrieval Based on Adaptive Gaussian Markov Random Field Model with Bayes Deep Convolutional Neural Network
S Krishnamoorthy - 2023 - researchsquare.com
This paper introduces a novel method for satellite colour imagery retrieval, based on an
Adaptive Gaussian Markov Random Field (AGMRF) model with the Bayes-driven Deep …
Adaptive Gaussian Markov Random Field (AGMRF) model with the Bayes-driven Deep …