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Segmentation-based object categorization

Known as: Segmentation based object categorization 
The image segmentation problem is concerned with partitioning an image into multiple regions according to some homogeneity criterion. This article is… 
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Related topics

Related topics

10 relations
Bag-of-words model in computer visionLOBPCGLanczos algorithmMatrix-free methods

Broader (1)

Image segmentation

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Extending the Power Watershed Framework Thanks to Γ-Convergence
In this paper, we provide a formal proof of the power-watershed framework relying on the Γ-convergence framework. The main… 
2011
2011
Optimal Client-Server Assignment for Internet Distributed Systems
We investigate an underlying mathematical model and algorithms for optimizing the performance of a class of distributed systems… 
2009
2009
A Normalized Cuts Based Image Segmentation Method
A new image segmentation method is proposed in the framework of Normalized Cuts to solve the perceptual grouping problem by means… 
2009
2009
Satellite Cloud Image Segmentation Based on the Improved Normalized Cuts Model
We propose a novel approach for satellite cloud image segmentation based on the improved Normalized Cuts Model. We extracted… 
2008
2008
Color Image Segmentation Using Multilevel Clustering Approach
In this paper, we present a new approach for automatic color image segmentation. It is a multilevel clustering method based on a… 
2008
2008
Breast Tumor Identification in Ultrasound Images Using the Normalized Cuts with Partial Grouping Constraints
Breast cancer is one of the leading causes of death in women. Early detection and treatment plays an important role in decreasing… 
2007
2007
Inappropriateness of the criterion of k-way normalized cuts for deciding the number of clusters
2006
2006
Image Segmentation Using Ncut in the Wavelet Domain
A new image segmentation method is developed that combines the advantage of the normalized cuts (Ncut) algorithm to solve the… 
2006
2006
Automatic Segmentation of Lung Fields from Radiographic Images of SARS Patients Using a New Graph Cuts Algorithm
This paper proposes an approach to the segmentation of lung fields in the severe acute respiratory syndrome (SARS) infected… 
2001
2001
Understanding Popout : Pre-attentive Segmentation through Nondirectional Repulsion
The goal of pre-attentive segmentation is to mark conspicuous image locations such as region boundaries, smooth contours and… 
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