Hyperspectral imaging technology for quality and safety evaluation of horticultural products: A review and celebration of the past 20-year progress

Y Lu, W Saeys, M Kim, Y Peng, R Lu - Postharvest Biology and Technology, 2020 - Elsevier
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 …

An overview of edge and object contour detection

D Yang, B Peng, Z Al-Huda, A Malik, D Zhai - Neurocomputing, 2022 - Elsevier
In computer vision, edge and object contour detection is essential for higher-level vision
tasks, such as shape matching, visual salience, image segmentation, and object recognition …

Automatic analysis of facial affect: A survey of registration, representation, and recognition

E Sariyanidi, H Gunes… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Automatic affect analysis has attracted great interest in various contexts including the
recognition of action units and basic or non-basic emotions. In spite of major efforts, there …

Discriminant correlation analysis: Real-time feature level fusion for multimodal biometric recognition

M Haghighat, M Abdel-Mottaleb… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Information fusion is a key step in multimodal biometric systems. The fusion of information
can occur at different levels of a recognition system, ie, at the feature level, matching-score …

CloudID: Trustworthy cloud-based and cross-enterprise biometric identification

M Haghighat, S Zonouz, M Abdel-Mottaleb - Expert Systems with …, 2015 - Elsevier
In biometric identification systems, the biometric database is typically stored in a trusted
server, which is also responsible for performing the identification process. However, a …

Automated colorization of a grayscale image with seed points propagation

S Wan, Y Xia, L Qi, YH Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we propose a fully automatic image colorization method for grayscale images
using neural network and optimization. For a determined training set including the gray …

Texture feature analysis for computer-aided diagnosis on pulmonary nodules

F Han, H Wang, G Zhang, H Han, B Song, L Li… - Journal of digital …, 2015 - Springer
Differentiation of malignant and benign pulmonary nodules is of paramount clinical
importance. Texture features of pulmonary nodules in CT images reflect a powerful …

Edge and line oriented contour detection: State of the art

G Papari, N Petkov - Image and Vision Computing, 2011 - Elsevier
We present an overview of various edge and line oriented approaches to contour detection
that have been proposed in the last two decades. By edge and line oriented we mean …

Fully automatic face normalization and single sample face recognition in unconstrained environments

M Haghighat, M Abdel-Mottaleb, W Alhalabi - Expert Systems with …, 2016 - Elsevier
Single sample face recognition have become an important problem because of the
limitations on the availability of gallery images. In many real-world applications such as …

On the role and the importance of features for background modeling and foreground detection

T Bouwmans, C Silva, C Marghes, MS Zitouni… - Computer Science …, 2018 - Elsevier
Background modeling has emerged as a popular foreground detection technique for various
applications in video surveillance. Background modeling methods have become increasing …