A novel color image encryption scheme is presented by combining the multi-parameter
fractional discrete Tchebyshev moments (MPFrDTMs) with the nonlinear fractal permutation …

Breast cancer is one of the most common invading cancers in women. Analyzing breast
cancer is nontrivial and may lead to disagreements among experts. Although deep learning …

In recent years, the electronic devices and wireless network are seen everywhere,
generating a massive amount of online surveillance video data that can be applied to …

Local binary pattern (LBP) and its variants have been successfully applied in texture feature
extraction. However, it is hard for most LBP-based methods to effectively describe and …

Classifying texture images relies heavily on the quality of the extracted features. However,
producing a reliable set of features is a difficult task that often requires human intervention to …

Huanglongbing (HLB) is one of the most threatening diseases for citrus production and it
has caused significant economic damage worldwide. Hence, computer-vision systems that …

When exploring facial expression recognition methods, it is found that existing algorithms
make insufficient use of information about the key parts that express emotion. For this …

This paper presents novel neutrosophic set-based Completed Local Binary Pattern (CLBP)
hybrid methods. These methods first transform the input image into a neutrosophic domain …

In this paper, deep convolutional neural network model is developed for classification and
image retrieval purpose. Deep learning techniques obtained deep features from different …

Nowadays the face biometric system is gaining popularity for authentication in access
control applications. At the same time, the threats to authentication systems are also …