Texture image analysis and texture classification methods-A review
L Armi, S Fekri-Ershad - arXiv preprint arXiv:1904.06554, 2019 - arxiv.org
Tactile texture refers to the tangible feel of a surface and visual texture refers to see the
shape or contents of the image. In the image processing, the texture can be defined as a …
shape or contents of the image. In the image processing, the texture can be defined as a …
Texture analysis and its applications in biomedical imaging: A survey
MK Ghalati, A Nunes, H Ferreira… - IEEE Reviews in …, 2021 - ieeexplore.ieee.org
Texture analysis describes a variety of image analysis techniques that quantify the variation
in intensity and pattern. This paper provides an overview of several texture analysis …
in intensity and pattern. This paper provides an overview of several texture analysis …
From BoW to CNN: Two decades of texture representation for texture classification
Texture is a fundamental characteristic of many types of images, and texture representation
is one of the essential and challenging problems in computer vision and pattern recognition …
is one of the essential and challenging problems in computer vision and pattern recognition …
Median robust extended local binary pattern for texture classification
Local binary patterns (LBP) are considered among the most computationally efficient high-
performance texture features. However, the LBP method is very sensitive to image noise and …
performance texture features. However, the LBP method is very sensitive to image noise and …
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 …
Rigid-motion scattering for texture classification
A rigid-motion scattering computes adaptive invariants along translations and rotations, with
a deep convolutional network. Convolutions are calculated on the rigid-motion group, with …
a deep convolutional network. Convolutions are calculated on the rigid-motion group, with …
An unsupervised-learning-based approach for automated defect inspection on textured surfaces
S Mei, H Yang, Z Yin - IEEE transactions on instrumentation …, 2018 - ieeexplore.ieee.org
Automated defect inspection has long been a challenging task especially in industrial
applications, where collecting and labeling large amounts of defective samples are usually …
applications, where collecting and labeling large amounts of defective samples are usually …
Rotation, scaling and deformation invariant scattering for texture discrimination
An affine invariant representation is constructed with a cascade of invariants, which
preserves information for classification. A joint translation and rotation invariant …
preserves information for classification. A joint translation and rotation invariant …
Single-image super-resolution based on rational fractal interpolation
This paper presents a novel single-image super-resolution (SR) procedure, which upscales
a given low-resolution (LR) input image to a high-resolution image while preserving the …
a given low-resolution (LR) input image to a high-resolution image while preserving the …
Completed robust local binary pattern for texture classification
Original Local Binary Pattern (LBP) descriptor has two obvious demerits, ie, it is sensitive to
noise, and sometimes it tends to characterize different structural patterns with the same …
noise, and sometimes it tends to characterize different structural patterns with the same …