Results 21 to 30 of about 986,520 (234)

POSE-FCN SUPERPIXEL SEGMENTATION FOR BUILDING FACADES BASED ON 2D TEXTURE AND 3D LOCAL POSE-VARIED SEMANTIC FEATURES [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
The extraction of building facades based on image sequences has a great contribution to the construction of digital realistic cities. The superpixel segmentation algorithm is a pre-processing tool for segmentation because of its advantages of fast speed,
R. Zhang   +5 more
doaj   +1 more source

Hybrid superpixel segmentation [PDF]

open access: yes2015 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2015
Superpixel over-segment image into meaningful clusters so that pixels in each cluster belong to one object. Many state-of-art superpixel algorithms have to make trade-offs between different concerns. As a result, algorithms that can produce good result in some situations fail in another.
Yuan Liu   +3 more
openaire   +3 more sources

Rethinking Superpixel Segmentation from Biologically Inspired Mechanisms [PDF]

open access: yesApplied Soft Computing, 2023
Recently, advancements in deep learning-based superpixel segmentation methods have brought about improvements in both the efficiency and the performance of segmentation.
Ting Zhao   +5 more
semanticscholar   +1 more source

Lung Field Segmentation in Chest X-ray Images Using Superpixel Resizing and Encoder–Decoder Segmentation Networks

open access: yesBioengineering, 2022
Lung segmentation of chest X-ray (CXR) images is a fundamental step in many diagnostic applications. Most lung field segmentation methods reduce the image size to speed up the subsequent processing time.
Chien-Cheng Lee   +3 more
doaj   +1 more source

Superpixel Generation for SAR Imagery Based on Fast DBSCAN Clustering With Edge Penalty

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
In this article, we propose an adaptive superpixel generation algorithm for synthetic aperture radar (SAR) imagery, which is implemented based on fast density-based spatial clustering of applications with noise (DBSCAN) clustering and superpixel merging ...
Liang Zhang   +5 more
doaj   +1 more source

SAR Image Segmentation Based on Fisher Vector Superpixel Generation and Label Revision

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
This article addresses the problem of superpixel-bases segmentation of synthetic aperture radar (SAR) images. Most superpixel segmentation methods have difficulties in segmenting adjacent regions with similar gray values, due to only considering spatial ...
Ronghua Shang   +5 more
doaj   +1 more source

Video Segmentation with Superpixels [PDF]

open access: yes, 2013
Due to its importance, video segmentation has regained interest recently. However, there is no common agreement about the necessary ingredients for best performance. This work contributes a thorough analysis of various within- and between-frame affinities suitable for video segmentation.
Fabio Galasso   +2 more
openaire   +3 more sources

Image Segmentation of Brain MRI Based on LTriDP and Superpixels of Improved SLIC

open access: yesBrain Sciences, 2020
Non-uniform gray distribution and blurred edges often result in bias during the superpixel segmentation of medical images of magnetic resonance imaging (MRI).
Yu Wang, Qi Qi, Xuanjing Shen
doaj   +1 more source

Sizes of Superpixels and their Effect on Interactive Segmentation [PDF]

open access: yes2021 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), 2021
Semi-automated segmentation, also known as interactive image segmentation, is an algorithm that extracts a region of interest (ROI) from an image based on user input. The said algorithm will be fed the user input information repeatedly until the required region of interest is successfully segmented.
Kok Luong Goh   +3 more
openaire   +1 more source

Building Detection in High-Resolution Remote Sensing Images by Enhancing Superpixel Segmentation and Classification Using Deep Learning Approaches

open access: yesBuildings, 2023
Accurate building detection is a critical task in urban development and digital city mapping. However, current building detection models for high-resolution remote sensing images are still facing challenges due to complex object characteristics and ...
Ayoub Benchabana   +3 more
semanticscholar   +1 more source

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