Effective and efficient texture feature extraction and classification is an important problem in
image understanding and recognition. Recently, texton learning based texture classification …

The performance of local binary pattern (LBP) and many LBP-based variants is usually
limited by rotation, illumination, scale, viewpoint, and the number of training samples. In view …

Dynamic texture is the moving sequence of images that shows some form of temporal
regularity. Various static texture descriptors have been extended to spatiotemporal domain …

In this work, we proposed a novel method, called Local Modified Zernike Moment per unit
Mass (LMZMPM), for face recognition, which is invariant to illumination, scaling, noise, in …

Texture classification algorithms using local binary pattern (LBP) and its variants usually can
achieve attractive results. However, the selected rotation invariant structural patterns in …

Local binary patterns (LBP) and its variants have shown great potentials in texture
classification tasks. LBP-like texture classification methods usually follow a two-step feature …

Video-based smoke detection is an effective method for fire alarm systems. Given the
widespread use of high-definition cameras, a smoke detection method for high-definition …

Texture classification is an active topic in image processing that can play an important role in
many applications such as image retrieval, inspection systems, face recognition and medical …

The defocus blur concept adds an artistic effect and enables an enhancement in the
visualization of image scenery. Moreover, some specialized computer vision fields, such as …

This paper introduces an unsupervised fabric defect detection algorithm that does not need
any user-adaptation and reveals high detection accuracy rates at the same time. This …