Hyperspectral imaging technology for quality and safety evaluation of horticultural products: A review and celebration of the past 20-year progress
In the past 20 years, hyperspectral imaging has been widely investigated as an emerging,
promising technology for evaluating quality and safety of horticultural products. This …
promising technology for evaluating quality and safety of horticultural products. This …
Spoofing and countermeasures for speaker verification: A survey
While biometric authentication has advanced significantly in recent years, evidence shows
the technology can be susceptible to malicious spoofing attacks. The research community …
the technology can be susceptible to malicious spoofing attacks. The research community …
Towards semi-supervised deep facial expression recognition with an adaptive confidence margin
Only parts of unlabeled data are selected to train models for most semi-supervised learning
methods, whose confidence scores are usually higher than the pre-defined threshold (ie, the …
methods, whose confidence scores are usually higher than the pre-defined threshold (ie, the …
Automated leaf disease detection in different crop species through image features analysis and One Class Classifiers
The presented approach demonstrates an automated way of crop disease identification on
various leaf sample images corresponding to different crop species employing Local Binary …
various leaf sample images corresponding to different crop species employing Local Binary …
Adaptively learning facial expression representation via cf labels and distillation
Facial expression recognition is of significant importance in criminal investigation and digital
entertainment. Under unconstrained conditions, existing expression datasets are highly …
entertainment. Under unconstrained conditions, existing expression datasets are highly …
From BoW to CNN: Two decades of texture representation for texture classification
Texture is a fundamental characteristic of many types of images, and texture representation
is one of the essential and challenging problems in computer vision and pattern recognition …
is one of the essential and challenging problems in computer vision and pattern recognition …
[HTML][HTML] Multi-class texture analysis in colorectal cancer histology
Automatic recognition of different tissue types in histological images is an essential part in
the digital pathology toolbox. Texture analysis is commonly used to address this problem; …
the digital pathology toolbox. Texture analysis is commonly used to address this problem; …
Median robust extended local binary pattern for texture classification
Local binary patterns (LBP) are considered among the most computationally efficient high-
performance texture features. However, the LBP method is very sensitive to image noise and …
performance texture features. However, the LBP method is very sensitive to image noise and …
Local binary features for texture classification: Taxonomy and experimental study
Abstract Local Binary Patterns (LBP) have emerged as one of the most prominent and
widely studied local texture descriptors. Truly a large number of LBP variants has been …
widely studied local texture descriptors. Truly a large number of LBP variants has been …
An improved YOLOv8 for foreign object debris detection with optimized architecture for small objects
Abstract Automated Foreign Object Debris (FOD) detection offers significant benefit to the
aviation industry by reducing human error and enabling continuous surveillance. This paper …
aviation industry by reducing human error and enabling continuous surveillance. This paper …