Results 41 to 50 of about 736,814 (346)

SASO: Joint 3D semantic‐instance segmentation via multi‐scale semantic association and salient point clustering optimization

open access: yesIET Computer Vision, 2021
Jointly performing semantic and instance segmentation of 3D point cloud remains a challenging task. In this work, a novel framework called joint 3D semantic‐instance segmentation via multi‐scale Semantic Association and Salient point clustering ...
Jingang Tan   +4 more
doaj   +1 more source

Automatic Generation of Segmented Labels for Road Anomaly Detection: An Application for Robotic Wheelchair [PDF]

open access: yes, 2023
Foreground moving object segmentation is a fundamental problem in many computer vision applications. As a solution for foreground segmentation, background modelling has been intensively studied over past years and many effective algorithms have been ...
G. Shanmugavel, Renangi Venkata Nivas, Vavintaparthi Venkata Sai Teja Swaroop, Shaik Anwar Babu, Sanampudi Siva Sai
core   +2 more sources

A Watershed-Segmentation-Based Improved Algorithm for Extracting Cultivated Land Boundaries

open access: yesRemote Sensing, 2021
To accurately extract cultivated land boundaries based on high-resolution remote sensing imagery, an improved watershed segmentation algorithm was proposed herein based on a combination of pre- and post-improvement procedures.
Yongan Xue, Jinling Zhao, Mingmei Zhang
doaj   +1 more source

False positive reduction in CADe using diffusing scale space [PDF]

open access: yes, 2014
Segmentation is typically the first step in computer-aided-detection (CADe). The second step is false positive reduction which usually involves computing a large number of features with thresholds set by training over excessive data set.
Brady, Michael   +2 more
core   +1 more source

The Empirical Watershed Wavelet

open access: yesJournal of Imaging, 2020
The empirical wavelet transform is an adaptive multi-resolution analysis tool based on the idea of building filters on a data-driven partition of the Fourier domain.
Basile Hurat   +2 more
doaj   +1 more source

Vascular endothelial‐cadherin as a marker of endothelial injury in preclinical Alzheimer disease

open access: yesAnnals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1926-1940, December 2022., 2022
Abstract Objective Endothelial dysfunction is an early and prevalent pathology in Alzheimer disease (AD). We here investigate the value of vascular endothelial‐cadherin (VEC) as a cerebrospinal fluid (CSF) marker of endothelial injury in preclinical AD.
Rawan Tarawneh   +5 more
wiley   +1 more source

Selected Applications of Scale Spaces in Microscopic Image Analysis

open access: yesCybernetics and Information Technologies, 2015
Image segmentation methods can be classified broadly into two classes: intensity-based and geometry-based. Edge detection is the base of many geometry-based segmentation approaches.
Prodanov Dimiter   +2 more
doaj   +1 more source

Mountain Segmentation Based on Global Optimization with the Cloth Simulation Constraint

open access: yesRemote Sensing, 2023
Mountains are an important research object for surveying, mapping, cartography, space science, and ecological remote sensing. Automatic mountain segmentation is one of the most critical techniques in large-scale mountain analyses.
Lekang Wen, Jun He, Xu Huang
doaj   +1 more source

INVESTIGATION OF POINTNET FOR SEMANTIC SEGMENTATION OF LARGE-SCALE OUTDOOR POINT CLOUDS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021
Semantic segmentation of point clouds is indispensable for 3D scene understanding. Point clouds have credibility for capturing geometry of objects including shape, size, and orientation.
A. Nurunnabi   +4 more
doaj   +1 more source

Multi-Space Alignments Towards Universal LiDAR Segmentation [PDF]

open access: yesComputer Vision and Pattern Recognition
A unified and versatile LiDAR segmentation model with strong robustness and generalizability is desirable for safe autonomous driving perception. This work presents M3Net, a one-of-a-kind framework for fulfilling multitask, multi-dataset, multimodality ...
You-Chen Liu   +7 more
semanticscholar   +1 more source

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