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Image segmentation

Known as: Segment, Image segment, Segmentation 
In computer vision, image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known as super… 
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Related topics

Related topics

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Aphelion Imaging Software SuiteBoundary tracingChain codeClique (graph theory)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2008
Highly Cited
2008
Equivalent (k0, k1)-covering and generalized digital lifting
2006
2006
Color Segmentation Robust to Brightness Variations by Using B-spline Curve Modeling
Highly Cited
2006
Highly Cited
2006
Connected sum of digital closed surfaces
Highly Cited
2005
Highly Cited
2005
Novel pixel architecture with inherent background suppression for 3D time-of-flight imaging
The time-of-flight (TOF) principle is a well known principle to acquire a scene in all three dimensions. The advantages of the… 
Highly Cited
2005
Highly Cited
2005
Computer Vision for Biomedical Image Applications, First International Workshop, CVBIA 2005, Beijing, China, October 21, 2005, Proceedings
2005
2005
Face Detection Based on Skin Color Segmentation and Neural Network
This paper proposes a human face detection system based on skin color segmentation and neural networks. The system consists of… 
Review
2004
Review
2004
A Survey of Image Segmentation
Image segmentation is one of the classical difficult problems for researchers. In this paper, we give a rather complete survey to… 
Highly Cited
2002
Highly Cited
2002
Lung nodules identification rules extraction with neural fuzzy network
In this paper, a neural fuzzy model is proposed to extract the diagnosis rules for detecting the pulmonary nodules. First, series… 
Highly Cited
2000
Highly Cited
2000
Sound analysis using MPEG compressed audio
There is a huge amount of audio data available that is compressed using the MPEG audio compression standard. Sound analysis is… 
Highly Cited
1992
Highly Cited
1992
Morphological multiscale image segmentation
This paper deals with a morphological approach to the problem of unsupervised image segmentation. The proposed technique relies… 
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