[HTML][HTML] A survey of image-based computational learning techniques for frost detection in plants

S Shammi, F Sohel, D Diepeveen, S Zander… - Information Processing …, 2023 - Elsevier
Frost damage is one of the major concerns for crop growers as it can impact the growth of
the plants and hence, yields. Early detection of frost can help farmers mitigating its impact. In …

Improved image segmentation method based on optimized higher-order polynomial

A Jameel Naji, SA Ibrahem… - International Journal of …, 2023 - ijnaa.semnan.ac.ir
Image segmentation is an essential task in images analyzing images. At the pixel level, the
images characterize as: 1) an object from its background, or 2) the rest of the objects from …

Cartoon-texture evolution for two-region image segmentation

L Antonelli, V De Simone, M Viola - Computational Optimization and …, 2023 - Springer
Two-region image segmentation is the process of dividing an image into two regions of
interest, ie, the foreground and the background. To this aim, Chan et al.(SIAM J Appl Math …

[PDF][PDF] 基于累积剩余信息能量的图像阈值分割法

刘菁, 田越, 范九伦 - Laser & Optoelectronics Progress, 2023 - researching.cn
摘要Shannon 定义的信息熵是一种度量信息不确定性的方式, Onicescu 定义的信息能量是一种
度量信息确定性的方式, 信息能量与Shannon 熵呈现一种对偶关系. 累积剩余熵是使用累积分布 …

[HTML][HTML] A supervised U-Net based color image semantic segmentation for detection & classification of human intestinal parasites

IO Libouga, L Bitjoka, DLL Gwet, O Boukar… - e-Prime-Advances in …, 2022 - Elsevier
Intestinal parasites are among the main public health problems around the world especially
in underprivileged communities where overcrowded, poor environmental sanitation and lack …

Using Sentinel images for analyzing water and land separability in an agricultural river basin

J Liang, G Liang, L Sun - Environmental Monitoring and Assessment, 2023 - Springer
The presence or absence of water can result in floods or droughts, potentially impacting
agricultural productivity to a great extent. With advancements in remote sensing technology …

Space Debris: Are Deep Learning-based Image Enhancements part of the Solution?

M Jamrozik, V Gaudillière, MA Musallam… - arXiv preprint arXiv …, 2023 - arxiv.org
The volume of space debris currently orbiting the Earth is reaching an unsustainable level at
an accelerated pace. The detection, tracking, identification, and differentiation between orbit …

MAPS: machine-assisted phenotype scoring enables rapid functional assessment of genetic variants by high-content microscopy

JT Chao, CD Roskelley, CJR Loewen - BMC bioinformatics, 2021 - Springer
Background Genetic testing is widely used in evaluating a patient's predisposition to
hereditary diseases. In the case of cancer, when a functionally impactful mutation (ie genetic …

A combination of'feature mapping'and'block'approaches to reduce the matching area of stereoscopic algorithms

D Rouabhia, NE Djedi - International Journal of …, 2023 - inderscienceonline.com
In this paper, we propose a new approach to restrict the matching field of stereoscopic
algorithms. It has been found that computing the disparity map implies using the whole …

Many-Scale Investigations of the Deformation Behavior of Polycrystalline Composites: I—Machine Learning Applied for Image Segmentation

Y Schneider, V Prabhu, K Höss, W Wasserbäch… - Materials, 2022 - mdpi.com
Our work investigates the polycrystalline composite deformation behavior through multiscale
simulations with experimental data at hand. Since deformation mechanisms on the micro …