Texture feature extraction methods: A survey
A Humeau-Heurtier - IEEE access, 2019 - ieeexplore.ieee.org
Texture analysis is used in a very broad range of fields and applications, from texture
classification (eg, for remote sensing) to segmentation (eg, in biomedical imaging), passing …
classification (eg, for remote sensing) to segmentation (eg, in biomedical imaging), passing …
Local binary features for texture classification: Taxonomy and experimental study
Abstract Local Binary Patterns (LBP) have emerged as one of the most prominent and
widely studied local texture descriptors. Truly a large number of LBP variants has been …
widely studied local texture descriptors. Truly a large number of LBP variants has been …
Fusion of color histogram and LBP-based features for texture image retrieval and classification
Abstract The Local Binary Pattern (LBP) operator and its variants play an important role as
the image feature extractor in the textural image retrieval and classification. The LBP-based …
the image feature extractor in the textural image retrieval and classification. The LBP-based …
LETRIST: Locally encoded transform feature histogram for rotation-invariant texture classification
Classifying texture images, especially those with significant rotation, illumination, scale, and
viewpoint changes, is a fundamental and challenging problem in computer vision. This …
viewpoint changes, is a fundamental and challenging problem in computer vision. This …
[PDF][PDF] Multi-Level Fusion in Ultrasound for Cancer Detection Based on Uniform LBP Features.
Collective improvement in the acceptable or desirable accuracy level of breast cancer image-
related pattern recognition using various schemes remains challenging. Despite the …
related pattern recognition using various schemes remains challenging. Despite the …
CT radiomics to predict high‐risk intraductal papillary mucinous neoplasms of the pancreas
Purpose Intraductal papillary mucinous neoplasms (IPMN s) are radiographically visible
precursor lesions of pancreatic cancer. Despite standard criteria for assessing risk, only 18 …
precursor lesions of pancreatic cancer. Despite standard criteria for assessing risk, only 18 …
Extended local binary patterns for face recognition
This paper presents a simple and novel, yet highly effective approach for robust face
recognition. Using LBP-like descriptors based on local accumulated pixel differences …
recognition. Using LBP-like descriptors based on local accumulated pixel differences …
Bark texture classification using improved local ternary patterns and multilayer neural network
S Fekri-Ershad - Expert Systems with Applications, 2020 - Elsevier
Tree identification is one of the areas that are regarded by researchers. It is done by human
expert with high cost. Experts believe that tree bark has a high relation with species in …
expert with high cost. Experts believe that tree bark has a high relation with species in …
Rock lithological classification by hyperspectral, range 3D and color images
Mine operations in the future will require automatic rock characterization at many different
stages, since it can be used to supervise and optimize various processes in the laboratory …
stages, since it can be used to supervise and optimize various processes in the laboratory …
An edge-located uniform pattern recovery mechanism using statistical feature-based optimal center pixel selection strategy for local binary pattern
S Lan, H Fan, S Hu, X Ren, X Liao, Z Pan - Expert Systems with …, 2023 - Elsevier
Abstract The Local Binary Pattern (LBP) is a commonly used method for texture classification
that performs well in terms of feature discrimination. However,(1) LBP can misclassify some …
that performs well in terms of feature discrimination. However,(1) LBP can misclassify some …