Coronavirus disease analysis using chest X-ray images and a novel deep convolutional neural network
Background The recent emergence of a highly infectious and contagious respiratory viral
disease known as COVID-19 has vastly impacted human lives and overloaded the health …
disease known as COVID-19 has vastly impacted human lives and overloaded the health …
Advanced color edge detection using clifford algebra in satellite images
UA Bhatti, Z Ming-Quan, H Qing-Song… - IEEE Photonics …, 2021 - ieeexplore.ieee.org
Edge detection is widely used for image processing to improve the detection and
classification of objects, segmentation, and extraction of other features. Satellite images are …
classification of objects, segmentation, and extraction of other features. Satellite images are …
Brain tumor MRI classification using a novel deep residual and regional CNN
Brain tumor classification is essential for clinical diagnosis and treatment planning. Deep
learning models have shown great promise in this task, but they are often challenged by the …
learning models have shown great promise in this task, but they are often challenged by the …
Pupil engineering for extended depth-of-field imaging in a fluorescence miniscope
Significance Fluorescence head-mounted microscopes, ie, miniscopes, have emerged as
powerful tools to analyze in-vivo neural populations but exhibit a limited depth-of-field (DoF) …
powerful tools to analyze in-vivo neural populations but exhibit a limited depth-of-field (DoF) …
Automatic road crack detection and classification using multi-tasking faster RCNN
A Sekar, V Perumal - Journal of Intelligent & Fuzzy Systems, 2021 - content.iospress.com
Automatic road crack detection is a prominent challenging task, in view of that, a novel
approach is proposed using multi-tasking Faster-RCNN to detect and classify road cracks. In …
approach is proposed using multi-tasking Faster-RCNN to detect and classify road cracks. In …
Real-time representation and rendering of high-resolution 3D light field based on texture-enhanced optical flow prediction
N Li, X Yu, X Gao, B Yan, D Li, J Hong, Y Tong… - Optics …, 2024 - opg.optica.org
Three-dimensional (3D) light field displays can provide an immersive visual perception and
have attracted widespread attention, especially in 3D light field communications, where 3D …
have attracted widespread attention, especially in 3D light field communications, where 3D …
Study on steel plate scratch detection based on improved MSR and phase consistency
L Yang, X Huang, Y Ren, Y Zhang - Signal, Image and Video Processing, 2023 - Springer
In the casting process of the steel plate, due to the influence of rolling equipment and
technology, the defects such as cracks and scratches appear on the surface of steel plate …
technology, the defects such as cracks and scratches appear on the surface of steel plate …
[图书][B] Semantic enrichment and similarity approximation for biomedical sequence images
SAC Bukhari - 2017 - search.proquest.com
Scientific publications are considered as the most up-to-date resource of ongoing research
activities and scientific knowledge. Efficient practices for accessing biomedical publications …
activities and scientific knowledge. Efficient practices for accessing biomedical publications …
Measuring fiber orientations in nonwoven web images using corner detection by Bézier fitting curves
This paper describes a novel method for measuring fiber orientations in nonwoven web
images by using Bézier fitting curves to detect corners of fiber edges and to separate …
images by using Bézier fitting curves to detect corners of fiber edges and to separate …
激光光斑边缘检测算子的研究进展
张英明， 李永亮， 张翼鹏， 胡伟伟， 刘泓鑫… - Journal of Quantum …, 2019 - opticsjournal.net
摘要光斑的边缘检测算子对一幅激光光斑的质量有着重要的影响, 是激光光斑的后续图像处理和
分析的前提. 目前, 在国内外应用比较广泛的边缘检测算子主要有Roberts 算子, Prewitt 算子 …
分析的前提. 目前, 在国内外应用比较广泛的边缘检测算子主要有Roberts 算子, Prewitt 算子 …