Results 31 to 40 of about 3,488 (207)

Fast Segmentation of Vertebrae CT Image Based on the SNIC Algorithm

open access: yesTomography, 2022
Automatic image segmentation plays an important role in the fields of medical image processing so that these fields constantly put forward higher requirements for the accuracy and speed of segmentation.
Bing Li   +4 more
doaj   +1 more source

SUPERPIXEL SEGMENTATION FOR POLSAR IMAGES BASED ON HEXAGON INITIALIZATION AND EDGE REFINEMENT [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Superpixel segmentation for PolSAR images can heavily decrease the number of primitives for subsequent interpretation while reducing the impact of speckle noise.
M. Li   +5 more
doaj   +1 more source

BASS: Boundary-Aware Superpixel Segmentation [PDF]

open access: yes2016 23rd International Conference on Pattern Recognition (ICPR), 2016
This work is partly funded by the Spanish MINECO project RobInstruct TIN2014-58178-R, by the ERA-Net Chistera project I-DRESS PCIN-2015-147 and by the EU project AEROARMS H2020-ICT-2014-1-644271. A. Rubio is supported by the industrial doctorate grant 2015-DI-010 of the AGAUR.
Rubio, Antonio   +3 more
openaire   +3 more sources

Rethinking Unsupervised Neural Superpixel Segmentation

open access: yes2022 IEEE International Conference on Image Processing (ICIP), 2022
ICIP ...
Moshe Eliasof   +2 more
openaire   +2 more sources

Superpixel Sizes using Topology Preserved Regular Superpixel Algorithm and their Impacts on Interactive Segmentation [PDF]

open access: yes, 2022
Interactive Image Segmentation is a type of semiautomated segmentation that uses user input to extract the object of interest. It is possible to speed up and improve the end result of segmentation by using pre-processing steps. The use of superpixels is
Muzaffar, Hamzah   +3 more
core   +2 more sources

Salient Object Segmentation Based on Superpixel and Background Connectivity Prior

open access: yesIEEE Access, 2018
Salient object segmentation is well known for detecting and segmenting objects using saliency map as input. In this paper, we propose a salient object segmentation method which integrates saliency, superpixel, and background connectivity prior.
Yuzhen Niu, Chaoran Su, Wenzhong Guo
doaj   +1 more source

An Interactive Segmentation Method Based on Superpixel [PDF]

open access: yes, 2015
This paper proposes an interactive image-segmentation method which is based on superpixel. To achieve fast segmentation, the method is used to establish a Graphcut model using superpixels as nodes, and a new energy function is proposed.
Yang Shu, Zhu Yaping, Wu Xiaoyu
core   +2 more sources

Multiple Superpixel Graphs Learning Based on Adaptive Multiscale Segmentation for Hyperspectral Image Classification

open access: yesRemote Sensing, 2022
Hyperspectral image classification (HSIC) methods usually require more training samples for better classification performance. However, a large number of labeled samples are difficult to obtain because it is cost- and time-consuming to label an HSI in a ...
Chunhui Zhao   +3 more
doaj   +1 more source

Interactive segmentation: a scalable superpixel-based method [PDF]

open access: yes, 2017
This paper addresses the problem of interactive multiclass segmentation of images. We propose a fast and efficient new interactive segmentation method called superpixel alpha fusion (SaF).
Mathieu, Bérengère   +5 more
core   +1 more source

Image segmentation using superpixel ensembles [PDF]

open access: yes, 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

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