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Stopping Region-Based Image Segmentation at Meaningful Partitions [chapter]

Tomasz Adamek, Noel E. O'Connor
Semantic Multimedia  
This paper proposes a new stopping criterion for automatic image segmentation based on region merging.  ...  The criterion is dependent on image content itself and when combined with the recently proposed approaches to syntactic segmentation can produce results aligned with the most salient semantic regions/objects  ...  Proposed Stopping Criterion This section discusses a new stopping criteria to obtaining a single partition that reflects meaningful image content.  ... 
doi:10.1007/978-3-540-77051-0_2 dblp:conf/samt/AdamekO07 fatcat:dscb3eoq6zda3dijjm5xvx5e54

Using Dempster-Shafer Theory to Fuse Multiple Information Sources in Region-Based Segmentation

Tomasz Adamek, Noel E. O'Connor
2007 2007 IEEE International Conference on Image Processing  
This paper presents a new method for segmentation of images into large regions that reflect the real world objects present in a scene.  ...  The main contribution of this paper is a novel framework for integration of evidence from multiple sources with the region merging process based on the Dempster-Shafer (DS) theory [3] that allows integration  ...  A new stopping criterion aimed at producing partitions containing the most salient objects present in the scene will be reported elsewhere.  ... 
doi:10.1109/icip.2007.4379144 dblp:conf/icip/AdamekO07 fatcat:tptx2epo2verfeuh3mh5kofls4

KIPPI: KInetic Polygonal Partitioning of Images

Jean-Philippe Bauchet, Florent Lafarge
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
The key idea consists in progressively extending pre-detected line-segments until they meet each other.  ...  Existing algorithms produce homogeneously-sized polygons that fail to capture thin geometric structures and over-partition large uniform areas.  ...  Based on these observations, we propose a kinetic approach for partitioning an image into polygons.  ... 
doi:10.1109/cvpr.2018.00332 dblp:conf/cvpr/BauchetL18 fatcat:ti6pgnssirhxtdpvpjutw5flri

On Building a Hierarchical Region-Based Representation for Generic Image Analysis

Veronica Vilaplana, Ferran Marques
2007 2007 IEEE International Conference on Image Processing  
This paper studies the procedure to create a hierarchical region-based image representation aiming at generic image analysis.  ...  This study is carried out in the context of bottom-up segmentation algorithms and, specifically, using the Binary Partition Tree implementation.  ...  One approach to region-based generic image analysis is to not constrain the image representation to a single partition but to create a hierarchy of partitions representing the image at different resolution  ... 
doi:10.1109/icip.2007.4380020 dblp:conf/icip/VilaplanaM07 fatcat:gszmfijahjbvdit27z6hp5fw3u

A Contrario Selection of Optimal Partitions for Image Segmentation

Juan Cardelino, Vicent Caselles, Marcelo Bertalmío, Gregory Randall
2013 SIAM Journal of Imaging Sciences  
We present a novel segmentation algorithm based on a hierarchical representation of images.  ...  In this way we increase the number of tested partitions and thus we potentially improve the segmentation results.  ...  CONCLUSIONS In this work we presented a method for image segmentation based on a hierarchy of partitions of an image.  ... 
doi:10.1137/11086029x fatcat:mn3ltds55nbyhdaijr3isgi73q

Image Segmentation Techniques: An Overview

Maninderjit Kaur, Er. Navdeep Singh
2014 IOSR Journal of Computer Engineering  
The goal of image segmentation is pattern recognition and image analysis besides simplifying the representation of an image which is more meaningful.  ...  Image segmentation means extracting the part of an image or any object.In digital image processing, image segmentation plays a vital role in the processing of images.Image segmentation is one of the most  ...  Introduction Image segmentation refers to the process of partitioning/subdividing an image into disjoint regions that are meaningful.  ... 
doi:10.9790/0661-16435058 fatcat:hsohrwth5fdfxc6wadb5agkhie

A contrario hierarchical image segmentation

Juan Cardelino, Vicent Caselles, Marcelo Bertalmio, Gregory Randall
2009 2009 16th IEEE International Conference on Image Processing (ICIP)  
These algorithms obtain the segmentation from the hierarchy by either using a greedy merging order or by cutting the hierarchy at a fixed scale.  ...  Hierarchies are a powerful tool for image segmentation, they produce a multiscale representation which allows to design robust algorithms and can be stored in tree-like structures which provide an efficient  ...  CONCLUSION AND FUTURE WORK In this work we presented a novel segmentation approach based on a hierarchy of partitions of an image.  ... 
doi:10.1109/icip.2009.5413723 dblp:conf/icip/CardelinoCBR09 fatcat:7c4x3fyaknd6hk2rocdnsu6ili

Multipass Active Contours for an Adaptive Contour Map

Jeong Kim, Bo-Young Park, Farhan Akram, Byung-Woo Hong, Kwang Choi
2013 Sensors  
Isocontour mapping is efficient for extracting meaningful information from a biomedical image in a topographic analysis.  ...  It is based on the modified active contour model, which imposes successive spatial constraints on the image domain.  ...  In the level set formulation, the minimal partition problem becomes evolving the active contour, which will stop at the desired boundary.  ... 
doi:10.3390/s130303724 pmid:23503297 pmcid:PMC3658771 fatcat:3zignwyrzve63i5f5vmgngkzoq

Vanishing point detection without any a priori information

A. Almansa, A. Desolneux, S. Vamech
2003 IEEE Transactions on Pattern Analysis and Machine Intelligence  
In this work, we develop a new detection algorithm that relies on the Helmoltz principle recently proposed for computer vision by Desolneux et al. [8], [9] , both at the line detection and line grouping  ...  Even though vanishing points in digital images result from parallel lines in the 3D scene, most of the proposed detection algorithms are forced to rely heavily either on additional properties (like orthogonality  ...  The authors would like to thank Jean-Michel Morel for his encouragement, support, ideas, and for introducing us to Gestalt-based image analysis. A.  ... 
doi:10.1109/tpami.2003.1190575 fatcat:ifk6zevmmze6xibf3572qyzzl4

A Contrario Selection of Optimal Partitions for Image Segmentation [article]

Juan Cardelino, Vicent Caselles, Marcelo Bertalmio, Gregory Randall
2013 arXiv   pre-print
We present a novel segmentation algorithm based on a hierarchical representation of images.  ...  In this way we increase the number of tested partitions and thus we potentially improve the segmentation results.  ...  CONCLUSIONS In this work we presented a method for image segmentation based on a hierarchy of partitions of an image.  ... 
arXiv:1305.1206v1 fatcat:c2spkuv45fdbfg7toyhqqcp6zu

Comparing the Main Approaches of Image Segmentation

2017 Iraqi Journal of Science  
Image segmentation is an important field to deal with the contents of images and get non overlapping regions coherent in texture and color, it is important to deal only with objects with significant information  ...  Interpretation of image content is one of the objectives of image processing techniques. Image interpretation that segments the image to number of objects called image segmentation.  ...  [1] The image segmentation aims to find regions that represent objects or meaningful parts of objects.  ... 
doi:10.24996/ijs.2017.58.4b.24 fatcat:wpnlw4yjczeqxnzhuerytbzehy

Object-based evaluation of hierarchical region-based representations based on information theory statistical measures

Felipe Calderero, Ferran Marques
2008 2008 International Workshop on Content-Based Multimedia Indexing  
Additionally, a significance index can be defined together with these techniques to extract the most statistically meaningful partitions at different levels of resolution.  ...  The first part of this object-based analysis evaluates the ability of the hierarchy of partitions created by each method to represent the objects in the image.  ...  These techniques are region-based, in the sense that they consider regions not only as the goal of the segmentation process but also as the mean to obtain a partition of the image.  ... 
doi:10.1109/cbmi.2008.4564945 dblp:conf/cbmi/CaldereroM08 fatcat:t3oefmjmmvcahhfdgfbvalvcfu

Unsupervised image segmentation based on local pixel clustering and low-level region merging

Rostom Kachouri, Mahmoud Soua, Mohamed Akil
2016 2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)  
Heterogeneous image segmentation is one of the most important tasks in image processing. It consists in partitioning the image into a set of disjoint regions.  ...  Indeed, it extends the Kmeans clustering to obtain meaningful regions. Several experiments were conducted using two heterogeneous image datasets.  ...  In the other side, DSet-DBSCAN and UIS can partition the images into meaningful segments. Actually, DSet-DBSCAN extends the clustered DSet regions with the DBSCAN algorithm.  ... 
doi:10.1109/atsip.2016.7523091 dblp:conf/atsip/KachouriSA16 fatcat:sgi33gfy7rcg7nhhn75iuzdvxu

Review of Color Image Segmentation

2013 International Journal of Advanced Computer Science and Applications  
This paper provides a review of methods advanced in the past few years for segmentation of color images.  ...  We have identified five that are based approaches contours, those relying on notion of region, structural approaches, those based on the form and then using those notions of graphs.  ...  phenomena can cause sub-segmentation or over-segmentation. 3) Region Merging The region merging approach is mainly based on the analysis of an adjacency graph regions which analyzes a segmented image  ... 
doi:10.14569/specialissue.2013.030204 fatcat:7kxpzkcunjbexlhsqsowhudzky

Image Segmentation with Multidimensional Refinement Indicators [article]

Hend Ben Ameur, Guy Chavent (INRIA Rocquencourt), Francois Clément, Pierre Weis (INRIA Rocquencourt)
2011 arXiv   pre-print
We minimize an error function during the iterations, and the partition of the image into regions is optimally driven by the gradient of this error.  ...  We use the adaptive parameterization technique which builds iteratively an optimal representation of the parameter into uniform regions that form a partition of the domain, hence corresponding to a segmentation  ...  segmented") on each region R of a partition P of its domain D: c i = s R as soon as x i ∈ R, (4) Image (vector) segmentation methods are categorized into three main classes: pixel based, edge based and  ... 
arXiv:1011.2292v3 fatcat:2qz6kx627jeobn3ldmld4ge25e
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