A wavelet scattering network computes a translation invariant image representation which is
stable to deformations and preserves high-frequency information for classification. It …

摘要针对当前局部二值模式(Local binary pattern, LBP) 方法表现出的理论和实际应用价值,
系统综述了在纹理分析和分类, 人脸分析和识别以及其他检测与应用中的各种LBP 方法. 首先 …

In this paper, a new image indexing and retrieval algorithm using local mesh patterns are
proposed for biomedical image retrieval application. The standard local binary pattern …

The spatially enhanced local binary pattern (LBP) histogram (eLBPH) methodology has
attained an established position in the field of face recognition (FR) and derived many face …

This paper presents a novel feature extraction algorithm called local ternary co-occurrence
patterns (LTCoP) for biomedical image retrieval. The LTCoP encodes the co-occurrence of …

Copy-move is one of the most common image tampering method. Many schemes have been
proposed to detect and locate the forged regions. However, many existing schemes fail …

In this paper, we report our extension of the use of feature selection based on mutual
information and feature fusion to improve gender classification of face images. We compare …

Sensing surface textures by tou ch is a valuable was difficult to build capability for robots.
Until recently it aa compliant sensor with high sennnsitivity and high resolution. The GelSight …

In this paper, we propose a novel texture analysis method using the complex network theory.
We investigated how a texture image can be effectively represented, characterized and …

In view of the theoretical and practical value of local binary pattern (LBP), the various LBP
methods in texture analysis and classification, face analysis and recognition, and other …