Local binary pattern (LBP) is a simple gray scale descriptor to characterize the local
distribution of the gray levels in an image. Multi-resolution LBP and/or combinations of the …

Along with the developments of deep learning, many recent architectures have been
proposed for face recognition and even get close to human performance. However …

In this letter an effective multi-resolution and rotation-invariant texture description approach
is presented, which can be utilized in various computer vision and image processing tasks …

Lately, fake images have become very popular, and it is difficult for people to see them. Due
to these fake images, many fields like forensics are facing problems; even social media also …

This paper ideates a novel texture descriptor that retains its classification accuracy under
varying conditions of image orientation, scale, and illumination. The proposed Overlapped …

Local binary pattern (LBP) and its variants have been widely used in many recognition tasks.
Subspace approaches are often applied to the LBP feature in order to remove unreliable …

Representing dynamic textures (DTs) plays an important role in many real implementations
in the computer vision community. Due to the turbulent and non-directional motions of DTs …

Malignant melanoma is considered as one of the most dangerous type of skin cancers as it
increases the mortality rate. Computer-aided diagnosis (CAD) systems can help to detect …

Multi-scale analysis has been widely used for constructing texture descriptors by modeling
the coefficients in transformed domains. However, the resulting descriptors are not robust to …

To improve recognition accuracy, the authors fuse texture, edge and line information to
propose a feature extraction method for smoke recognition. The Canny operator is proposed …