State space reconstruction is the foundation of chaotic system modeling. Selection of
reconstructed variables is essential to the analysis and prediction of multivariate chaotic time …

An effective framework for dynamic texture recognition is introduced by exploiting local
features and chaotic motions along beams of dense trajectories in which their motion points …

Many recent studies have proposed methods for the classification of dynamic textures (DT).
A method involving local binary patterns on three orthogonal planes (LBP-TOP) has shown …

Dynamic texture (DT) and scene descriptions are challenging problems in video
understanding that play crucial role in different important applications of computer vision. An …

Census transformation and its variants have gained popularity in image classification for
their simplicity and better performance. To describe a texture pattern, these approaches …

为了提高铁路扣件基于视觉的自动化检测精度, 提出了一种改进的LBP (local binary pattern)
编码算法. 该方法为了避免基本LBP 对噪声敏感问题, 根据不同邻域的不同噪声强度 …

An improved LBP (local binary pattern) algorithm is proposed to raise the auto-detection
accuracy on fasteners. The original LBP is sensitive to noise. To solve this problem, the pixel …

Feature extraction of medical images is a challenging task due to variation in modalities and
imaged objects (organs, tissues and specific pathologies). This article presents a simple …

Automated classification of medical images using machine learning methods has portrayed
a vital role in the field of medical diagnosis. In the research work presented in this paper, the …