Results 81 to 90 of about 6,422 (208)
Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Echogram SLIC superpixel parameters.
, 2018 Echogram SLIC superpixel parameters.
Joseph M. Wheaton (400702) +2 more
core +1 more source
Superpixel segmentation based on anisotropic edge strength [PDF]
, 2019 Superpixel segmentation can benefit from the use of an appropriate method to measure edge strength. In this paper, we present such a method based on the first derivative of anisotropic Gaussian kernels.
Bernard De Baets +3 more
core +1 more source
Video‐Based Rainfall Opportunistic Sensing in Hydrology: A Lightweight Machine Learning Approach
Water Resources Research, Volume 62, Issue 7, July 2026.Abstract Video‐based rainfall measurement is a frontier topic in opportunistic sensing; however, rapid, accurate, and robust identification of rainfall‐related rain‐streak features from dynamic videos remains a key challenge, especially for monitoring devices with limited computational resources.
Yongcheng Jin +5 more
wiley +1 more source
Superpixel Optimization Using Higher Order Energy
, 2016 A novel superpixel extraction algorithm using a higher order energy optimization framework is proposed in this paper. We first adopt the k-means clustering technique to quickly get an initial superpixel result.
Li, Xuelong +3 more
core +1 more source
Boundary-preserving superpixel segmentation
Journal of Applied Science and EngineeringIn recent years, superpixel segmentation has been widely used in image processing tasks as a preprocessing step. Superpixel segmentation aims to group pixels into homogeneous regions while maintaining edges.
Yuejia Lin +3 more
doaj +1 more source
A deep learning‐enabled toolkit for the 3D segmentation of ventricular cardiomyocytes
The Journal of Physiology, Volume 604, Issue 13, Page 5561-5584, 1 July 2026.Abstract figure legend 3D cardiomyocyte segmentation enables comprehensive analyses of myocardial microstructure in health and disease; however, it is technically demanding. We present an open‐source toolkit for this task, which reduces challenges associated with sample preparation, image restoration, segmentation and proofreading.
Joachim Greiner +6 more
wiley +1 more source
Image segmentation using superpixel ensembles [PDF]
, 2017 Recently there has been an increasing interest in image segmentation due to the needs of locating objects with high segmentation accuracy as required by many computer vision and image processing tasks.
Gu, Xianbin
core +1 more source
Frontiers in Remote SensingThe spectral information of each pixel in hyperspectral images contains valuable information about object properties, although accurate labeling is required in supervised classification to guide the model in distinguishing different land cover types ...
Yiran Wang +6 more
doaj +1 more source
Multifiber Array‐Based Photometry System for Multiregional Functional Mapping in the Mouse Brain
European Journal of Neuroscience, Volume 63, Issue 12, June 2026.Existing fiber photometry approaches suffer from invasiveness and limited scalability. A newly developed multifiber array‐based photometry system allows targeting multiple brain regions with less invasiveness. The system was validated in two jGCaMP8s‐expressing mouse lines by monitoring GABAergic neural population activity across multiple brain regions
Manil Bradai +4 more
wiley +1 more source