Techniques and challenges of image segmentation: A review
Y Yu, C Wang, Q Fu, R Kou, F Huang, B Yang, T Yang… - Electronics, 2023 - mdpi.com
Image segmentation, which has become a research hotspot in the field of image processing
and computer vision, refers to the process of dividing an image into meaningful and non …
and computer vision, refers to the process of dividing an image into meaningful and non …
Medical image processing on the GPU–Past, present and future
Graphics processing units (GPUs) are used today in a wide range of applications, mainly
because they can dramatically accelerate parallel computing, are affordable and energy …
because they can dramatically accelerate parallel computing, are affordable and energy …
A survey of semantic segmentation
M Thoma - arXiv preprint arXiv:1602.06541, 2016 - arxiv.org
This survey gives an overview over different techniques used for pixel-level semantic
segmentation. Metrics and datasets for the evaluation of segmentation algorithms and …
segmentation. Metrics and datasets for the evaluation of segmentation algorithms and …
Beyond pixels: A comprehensive survey from bottom-up to semantic image segmentation and cosegmentation
Image segmentation refers to the process to divide an image into meaningful non-
overlapping regions according to human perception, which has become a classic topic since …
overlapping regions according to human perception, which has become a classic topic since …
Unsupervised joint object discovery and segmentation in internet images
We present a new unsupervised algorithm to discover and segment out common objects
from large and diverse image collections. In contrast to previous co-segmentation methods …
from large and diverse image collections. In contrast to previous co-segmentation methods …
Semantic aware attention based deep object co-segmentation
Object co-segmentation is the task of segmenting the same objects from multiple images. In
this paper, we propose the Attention Based Object Co-Segmentation for object co …
this paper, we propose the Attention Based Object Co-Segmentation for object co …
Image co-segmentation via saliency co-fusion
Most existing high-performance co-segmentation algorithms are usually complex due to the
way of co-labeling a set of images as well as the common need of fine-tuning few …
way of co-labeling a set of images as well as the common need of fine-tuning few …
[PDF][PDF] 基于内容的图像分割方法综述
姜枫， 顾庆， 郝慧珍， 李娜， 郭延文， 陈道蓄 - 软件学报, 2016 - jos.org.cn
图像分割是指将图像分成若干具有相似性质的区域的过程, 是许多图像处理任务的预处理步骤.
近年来, 国内外学者主要研究基于图像内容的分割算法. 在广泛调研大量文献和最新成果的基础 …
近年来, 国内外学者主要研究基于图像内容的分割算法. 在广泛调研大量文献和最新成果的基础 …
Survey on content-based image segmentation methods
姜枫， 顾庆， 郝慧珍， 李娜， 郭延文， 陈道蓄 - Journal of Software, 2016 - jos.org.cn
图像分割是指将图像分成若干具有相似性质的区域的过程, 是许多图像处理任务的预处理步骤.
近年来, 国内外学者主要研究基于图像内容的分割算法. 在广泛调研大量文献和最新成果的基础 …
近年来, 国内外学者主要研究基于图像内容的分割算法. 在广泛调研大量文献和最新成果的基础 …
Multiple random walkers and their application to image cosegmentation
A graph-based system to simulate the movements and interactions of multiple random
walkers (MRW) is proposed in this work. In the MRW system, multiple agents traverse a …
walkers (MRW) is proposed in this work. In the MRW system, multiple agents traverse a …