Browsing by Author "Elharrouss, Omar"
Now showing items 1-13 of 13
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Attention-based Network for Image/Video Salient Object Detection
Elharrouss, Omar; Elkaitouni, Soukaina El Idrissi; Akbari, Younes; Al-Maadeed, Somaya; Bouridane, Ahmed (2023 , Article)The goal of video or image salient object detection is to identify the most important object in the scene, which can be helpful in many computer vision-based tasks. As the human vision framework has a successful capacity ... -
Edge Detection with multi-scale representation and refined Network
Elharrouss, Omar; Akbari, Younes; Al-Maadeed, Somaya; Bouridane, Ahmed ( Institution of Engineering and Technology , 2022 , Conference Paper)Edge detection is a representation of boundaries between objects and regions in an image. Due to the variations of types, scales, intensities as well as background, the detection of these boundaries represents a challenge ... -
An Encoder–Decoder-Based Method for Segmentation of COVID-19 Lung Infection in CT Images
Elharrouss, Omar; Subramanian, Nandhini; Al-Maadeed, Somaya ( Springer Nature , 2021 , Article)The novelty of the COVID-19 Disease and the speed of spread, created colossal chaotic, impulse all the worldwide researchers to exploit all resources and capabilities to understand and analyze characteristics of the ... -
Enhanced computer vision applications with blockchain: A review of applications and opportunities
Najmath, Ottakath; Al-Ali, Abdulla; Al-Maadeed, Somaya; Elharrouss, Omar; Mohamed, Amr ( Elsevier , 2023 , Article)Videos and image processing have significantly transformed computer vision, enabling computers to analyse, and manipulate visual data. The proliferation of cameras and IR equipment has facilitated the collection of valuable ... -
Face Anti-Spoofing Detection Using Structure-Texture Decomposition
Douglas, Dareen; Ben Hassen, Nada; Aslam, Asmaa; Elharrouss, Omar; Al-Maadeed, Somaya ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2023 , Article)A key area in computer vision and biometric authentication systems is detecting and classifying face anti-spoofing. The novel method for face anti-spoofing presented in this paper focuses on color invariant methods. The ... -
GAN-Based Approach for Diabetic Retinopathy Retinal Vasculature Segmentation
Sebastian, Anila; Elharrouss, Omar; Al-Maadeed, Somaya; Almaadeed, Noor ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Most diabetes patients develop a condition known as diabetic retinopathy after having diabetes for a prolonged period. Due to this ailment, damaged blood vessels may occur behind the retina, which can even progress to a ... -
Hierarchical deep learning approach using fusion layer for Source Camera Model Identification based on video taken by smartphone
Younes, Akbari; Al Maadeed, Somaya; Elharrouss, Omar; Ottakath, Najmath; Khelifi, Fouad ( Elsevier , 2024 , Article)Over the last decade, videos uploaded and shared through web-based multimedia platforms and mobile applications have proliferated worldwide. This is because cloud-based applications such as iCloud, YouTube, Facebook, ... -
LWKPCA: A New Robust Method for Face Recognition Under Adverse Conditions
Maafiri, Ayyad; Bir-Jmel, Ahmed; Elharrouss, Omar; Khelifi, Fouad; Chougdali, Khalid ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2022 , Article)Over the last two decades, face recognition (FR) has become one of the most prevailing biometric applications for effective people identification as it offers practical advantages over other biometric modalities. However, ... -
Multi-scale-based Network for Image Dehazing
Araji, Chaza; Zahra, Ayaa; Alinsari, Leen; Al-Aloosi, Maryam; Elharrouss, Omar; Al-Maadeed, Sumaya... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2023 , Article)Image and video dehazing is a difficult subject that has received a lot of attention in the field of computer vision. The presence of air haze in photos and movies can reduce visual quality dramatically, resulting in a ... -
A New Dataset for Forged Smartphone Videos Detection: Description and Analysis
Akbari, Younes; Najeeb, Al Anood; Al Maadeed, Somaya; Elharrouss, Omar; Khelifi, Fouad; Lawgaly, Ashref... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)The advancement of Internet technology has significantly impacted daily life, which is influenced by digital videos taken with smartphones as the most popular type of multimedia. These digital videos are extensively sent ... -
A New Framework for Smart Doors Using mmWave Radar and Camera-Based Face Detection and Recognition Techniques
Akbari, Younes; Al-Binali, Abdulaziz; Al-Mohannadi, Ali; Al-Hemaidi, Nawaf; Elharrouss, Omar; Al-Maadeed, Somaya... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)By integrating IoT technology, smart door locks can provide greater convenience, security, and remote access. This paper presents a novel framework for smart doors that combines face detection and recognition techniques ... -
A Survey on Diabetic Retinopathy Lesion Detection and Segmentation
Sebastian, Anila; Elharrouss, Omar; Al-Maadeed, Somaya; Almaadeed, Noor ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Diabetes is a global problem which impacts people of all ages. Diabetic retinopathy (DR) is a main ailment of the eyes resulting from diabetes which can result in loss of eyesight if not detected and treated on time. The ... -
Ultrasound Intima-Media Complex (IMC) Segmentation Using Deep Learning Models
Hassen Mohammed, Hanadi; Elharrouss, Omar; Ottakath, Najmath; Al-Maadeed, Somaya; Chowdhury, Muhammad E.H.; Bouridane, Ahmed; Zughaier, Susu M.... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Common carotid intima-media thickness (CIMT) is a common measure of atherosclerosis, often assessed through carotid ultrasound images. However, the use of deep learning methods for medical image analysis, segmentation and ...