Results 71 to 80 of about 10,393 (248)

Automatic inventory of retaining walls from aerial lidar data using 3D deep learning

open access: yesCivil Engineering Design, Volume 7, Issue 4, Page 178-189, December 2025.
Abstract Infrastructure management along highways and railways requires inventories of critical structures like retaining walls, which traditionally rely on manual inspection and documentation. Unfortunately, data in infrastructure databases is often incomplete.
Ivo Gasparini   +2 more
wiley   +1 more source

A Two-Stage Gradient Ascent-Based Superpixel Framework for Adaptive Segmentation

open access: yesApplied Sciences, 2019
Superpixel segmentation usually over-segments an image into fragments to extract regional features, thus linking up advanced computer vision tasks. In this work, a novel coarse-to-fine gradient ascent framework is proposed for superpixel-based color ...
Wangpeng He   +4 more
doaj   +1 more source

Iterative Instance Segmentation

open access: yes, 2016
Existing methods for pixel-wise labelling tasks generally disregard the underlying structure of labellings, often leading to predictions that are visually implausible.
Hariharan, Bharath   +2 more
core   +1 more source

CONIC: Contour Optimized Non-Iterative Clustering Superpixel Segmentation [PDF]

open access: gold, 2021
Cheng Li   +7 more
openalex   +1 more source

A Custom Deep Learning Model With Explainable Artificial Intelligence for Interpretable Brain Tumor Classification

open access: yesEngineering Reports, Volume 7, Issue 12, December 2025.
A custom deep learning model with explainable artificial intelligence for interpretable brain tumor classification. ABSTRACT Brain tumors are critical neurological disorders affecting mankind. The Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) scans play an important role in diagnosing brain tumors, but need an expert interpretation ...
Duppala Rohan   +5 more
wiley   +1 more source

Content-Sensitive Superpixel Generation with Boundary Adjustment

open access: yesApplied Sciences, 2020
Superpixel segmentation has become a crucial tool in many image processing and computer vision applications. In this paper, a novel content-sensitive superpixel generation algorithm with boundary adjustment is proposed. First, the image local entropy was
Dong Zhang   +5 more
doaj   +1 more source

Region-based Skin Color Detection. [PDF]

open access: yes, 2012
Skin color provides a powerful cue for complex computer vision applications. Although skin color detection has been an active research area for decades, the mainstream technology is based on the individual pixels. This paper presents a new region-based
Liu, D.   +3 more
core  

Nighttime sky/cloud image segmentation

open access: yes, 2017
Imaging the atmosphere using ground-based sky cameras is a popular approach to study various atmospheric phenomena. However, it usually focuses on the daytime. Nighttime sky/cloud images are darker and noisier, and thus harder to analyze.
Dev, Soumyabrata   +3 more
core   +1 more source

Hyperspectral Imaging: The Intelligent Eye to Uncover the Password of Plant Science

open access: yesModern Agriculture, Volume 3, Issue 2, December 2025.
Hyperspectral imaging (HSI) has emerged as a powerful non‐destructive technique for characterisation of the plant phenotype and physiological traits. The ongoing development of cost‐effective hardware, coupled with standardised acquisition protocols and open‐access spectral libraries, is accelerating its integration with multi‐omics approaches to ...
Jingyan Song   +17 more
wiley   +1 more source

Drone‐based polarization imaging system for leaf spot severity determination in peanut plants

open access: yesThe Plant Phenome Journal, Volume 8, Issue 1, December 2025.
Abstract In this study, we introduce a new approach for enhancing peanut phenotyping through a polarization imaging platform. With leaf spot disease posing significant threats to peanut (Arachis hypogae L.) crops, our research addresses the need for accurate and efficient detection methods.
Joshua Larsen   +4 more
wiley   +1 more source

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