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 …
Objective microstructure classification by support vector machine (SVM) using a combination of morphological parameters and textural features for low carbon steels
The variety of modern steels is growing steadily. In order to meet the ever tighter tolerance
ranges for the properties of these steels, it is important to both understand the manufacturing …
ranges for the properties of these steels, it is important to both understand the manufacturing …
MRI-based attenuation correction for brain PET/MRI based on anatomic signature and machine learning
Deriving accurate attenuation maps for PET/MRI remains a challenging problem because
MRI voxel intensities are not related to properties of photon attenuation and bone/air …
MRI voxel intensities are not related to properties of photon attenuation and bone/air …
Attractive-and-repulsive center-symmetric local binary patterns for texture classification
Y Ruichek - Engineering Applications of Artificial Intelligence, 2019 - Elsevier
Aiming at the defect of Local Binary Pattern (LBP) and its variants, this paper presents a new
modeling of the conventional LBP operator for texture classification. Named Attractive-and …
modeling of the conventional LBP operator for texture classification. Named Attractive-and …
A novel method for content-based image retrieval to improve the effectiveness of the bag-of-words model using a support vector machine
The advancements in the multimedia technologies result in the growth of the image
databases. To retrieve images from such image databases using visual attributes of the …
databases. To retrieve images from such image databases using visual attributes of the …
Learning‐based CBCT correction using alternating random forest based on auto‐context model
Purpose Quantitative Cone Beam CT (CBCT) imaging is increasing in demand for precise
image‐guided radiotherapy because it provides a foundation for advanced image‐guided …
image‐guided radiotherapy because it provides a foundation for advanced image‐guided …
[HTML][HTML] Multi-resolution weed classification via convolutional neural network and superpixel based local binary pattern using remote sensing images
Automatic weed detection and classification faces the challenges of large intraclass
variation and high spectral similarity to other vegetation. With the availability of new high …
variation and high spectral similarity to other vegetation. With the availability of new high …
[HTML][HTML] Entropy based Local Binary Pattern (ELBP) feature extraction technique of multimodal biometrics as defence mechanism for cloud storage
Cloud Computing (CC) is a technology that is growing by leaps and bounds and has
attracted wide spectrum of users. The extensive usage of cloud technology is influenced by …
attracted wide spectrum of users. The extensive usage of cloud technology is influenced by …
Face anti-spoofing using texture-based techniques and filtering methods
MR Hasan, SMH Mahmud, XY Li - Journal of Physics …, 2019 - iopscience.iop.org
User authentication for an accurate biometric system is the demand of the hour in today's
world. When somebody attempts to take on the appearance of another person by …
world. When somebody attempts to take on the appearance of another person by …
Multi-channel local ternary pattern for content-based image retrieval
A feature based on a single modality such as color or texture is not sufficient to investigate
the appearance variation across multiple images. In this paper, a novel feature referred to as …
the appearance variation across multiple images. In this paper, a novel feature referred to as …