Results 91 to 100 of about 471,167 (221)

Geometry-based Superpixel Segmentation - Introduction of Planar Hypothesis for Superpixel Construction

Proceedings of the 10th International Conference on Computer Vision Theory and Applications, 2015
Superpixel segmentation is widely used in the preprocessing step of many applications. Most of existing methods are based on a photometric criterion combined to the position of the pixels. In the same way as the Simple Linear Iterative Clustering (SLIC) method, based on k-means segmentation, a new algorithm is introduced.
Bauda, Marie-Anne, Chambon, Sylvie, Gurdjos, Pierre, Charvillat, Vincent   +3 more
openaire   +2 more sources

Breaking (Light) Barriers: Photoacoustics in Atherosclerotic Diseases

Journal of Cellular and Molecular Medicine, Volume 29, Issue 21, November 2025.
ABSTRACT Photoacoustic imaging (PAI) is an emerging imaging modality that provides high‐resolution, spatiotemporal insights into anatomical structures, functional parameters and molecular characteristics of tissues. By leveraging both endogenous absorbers, such as lipids and collagen, and exogenous contrast agents like nanoparticles and molecular dyes,
Kayleigh van Dijk, Margreet R. de Vries
wiley   +1 more source

BiofilmQuant: A Computer-Assisted Tool for Dental Biofilm Quantification

, 2014
Dental biofilm is the deposition of microbial material over a tooth substratum. Several methods have recently been reported in the literature for biofilm quantification; however, at best they provide a barely automated solution requiring significant ...
Mansoor, Awais, Patsekin, Valery, Rajwa, Bartlomiej, Robinson, J. Paul, Scherl, Dale   +4 more
core   +1 more source

Advances and Trends in Terrain Classification Methods for Off‐Road Perception

Journal of Field Robotics, Volume 42, Issue 7, Page 3515-3544, October 2025.
ABSTRACT Off‐road autonomous vehicles (OAVs) are becoming increasingly popular for navigating challenging environments in agriculture, military, and exploration applications. These vehicles face unique challenges, such as unpredictable terrain, dynamic obstacles, and varying environmental conditions.
Tanzila Arafin, Anwar Hosen, Zoran Najdovski, Lei Wei, Mohammad Rokonuzzaman, Michael Johnstone   +5 more
wiley   +1 more source

An unsupervised semantic segmentation method that combines the ImSE-Net model with SLICm superpixel optimization

International Journal of Digital Earth
In the field of remote sensing, using a large amount of labeled image data to supervise the training of fully convolutional networks for the semantic segmentation of images is expensive.
Zenan Yang, Haipeng Niu, Xiaoxuan Wang, Liang Huang, Kui Yang   +4 more
doaj   +1 more source

Integrating surface‐enhanced Raman scattering with machine learning: Pioneering a comprehensive diagnostic and therapeutic platform for cancer management

Interdisciplinary Medicine, Volume 3, Issue 5, September 2025.
Integrating Surface‐Enhanced Raman Scattering (SERS) with machine learning creates a powerful platform for cancer management. This approach enhances diagnostic precision through non‐invasive molecular fingerprinting and enables real‐time therapeutic monitoring. By combining SERS with machine learning, it offers a comprehensive solution for early cancer
Heng‐Zhou He, La Zhang, Yi‐Lin Wen, Yan‐Yang Wang, Jun‐Yan Zhang, Fei‐Hao Yao, Ji‐Yao Yu, Jing‐Xian Wu, Qi‐Ling Peng, Ning Jiang   +9 more
wiley   +1 more source

Integrated Deep and Shallow Networks for Salient Object Detection

, 2017
Deep convolutional neural network (CNN) based salient object detection methods have achieved state-of-the-art performance and outperform those unsupervised methods with a wide margin.
Dai, Yuchao, He, Mingyi, Li, Bo, Porikli, Fatih, Zhang, Jing   +4 more
core   +1 more source

A Review of Technical Advances and Applications of Intelligent Inspection Robots in Structural Health Monitoring

SmartBot, Volume 1, Issue 3, September 2025.
This review presents recent advances in intelligent inspection robots for structural health monitoring. It highlights key technologies in sensing, data processing, and fault localization, along with challenges and future directions. The aim is to support practical deployment and promote intelligent, efficient, and autonomous monitoring systems ...
Dongjie Li, Huaitao Shi, Bing Cai, Xiaotian Bai, Lu Chen, Gang Han, Chenghong Mi   +6 more
wiley   +1 more source

Beyond KernelBoost [PDF]

, 2014
In this Technical Report we propose a set of improvements with respect to the KernelBoost classifier presented in [Becker et al., MICCAI 2013]. We start with a scheme inspired by Auto-Context, but that is suitable in situations where the lack of large ...
Fua, Pascal, Lepetit, Vincent, Rigamonti, Roberto   +2 more
core   +1 more source

Reassessing the Relationship Between Meteor Radio Afterglows and Optical Persistent Trains

Journal of Geophysical Research: Space Physics, Volume 130, Issue 9, September 2025.
Abstract Meteor radio afterglows (MRAs) and optical persistent trains (PTs) are two types of long‐lived phenomena which are occasionally observed following the occurrence of a meteor. Both phenomena are thought to be produced by intrinsic emission mechanisms; PTs have been associated with chemiluminescent reactions between meteoric metals and ...
L. E. Cordonnier, K. S. Obenberger, G. B. Taylor, J. M. Holmes, J. Dowell, D. Vida   +5 more
wiley   +1 more source