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Combination of region and contour models for interactive image segmentation

Ling Ge, Ran Ju, Gangshan Wu
2015 Proceedings of the 7th International Conference on Internet Multimedia Computing and Service - ICIMCS '15  
Specifically, we first obtain a coarse segmentation on a reduced scale using the classical graph cut method.  ...  Then we refine the boundary region on finer scales using active contours based method iteratively.  ...  Next, we iteratively refine boundary area using a graph cut based active contours method [12] .  ... 
doi:10.1145/2808492.2808547 dblp:conf/icimcs/GeJW15 fatcat:k4xhoabh45elbnq3o74ve3mb5e

Refinement-Cut: User-Guided Segmentation Algorithm for Translational Science

Jan Egger
2014 Scientific Reports  
However, even with interactive real-time contouring approaches there are always cases where the user cannot find a satisfying segmentation, e.g. due to homogeneous appearances between the object and the  ...  More precise, the approach belongs to the category of interactive contouring algorithms, which provide real-time feedback of the segmentation result.  ...  Fedorov, Tuncali, Fennessy and Tempany, for sharing the prostate data collection plus manual segmentations, and Fraunhofer MeVis for providing an academic MeVisLab license.  ... 
doi:10.1038/srep05164 pmid:24893650 pmcid:PMC4044619 fatcat:6etn5wbwz5clpclnv4gaxfohsi

Refinement-Cut: User-Guided Segmentation Algorithm for Translational Science [article]

Jan Egger
2014 arXiv   pre-print
However, even with interactive real-time contouring approaches there are always cases where the user cannot find a satisfying segmentation, e.g. due to homogeneous appearances between the object and the  ...  More precise, the approach belongs to the category of interactive contouring algorithms, which provide real-time feedback of the segmentation result.  ...  In the rightmost image, the user further refined the segmentation outcome with two additional seed points. for the interactive segmentation a circle was used as template to construct the graph).  ... 
arXiv:1406.1906v1 fatcat:rrzo7kkrhnbijehul54krz7gwm

Interactive object segmentation from multi-view images

Thi Nhat Anh Nguyen, Jianfei Cai, Jianmin Zheng, Jianguo Li
2013 Journal of Visual Communication and Image Representation  
multi-view images (say, more than 40 images), by interactively cutting 3 ∼ 4 images, can the foreground object of the rest images be quickly cutout automatically and accurately?  ...  Our proposed system iteratively performs 2D and 3D segmentation, where the 3D segmentation results are used to initialize 2D segmentation and ensure the silhouette consistency among different views and  ...  , 3D graph-cut and local editing and co-refinement.  ... 
doi:10.1016/j.jvcir.2013.02.012 fatcat:5isdczqcp5dbnphjfm567mlxle

Interactive object segmentation in video by fitting splines to graph cuts

Iddo Drori, Tommer Leyvand, Daniel Cohen-Or, Hezy Yeshurun
2004 ACM SIGGRAPH 2004 Posters on - SIGGRAPH '04  
Next, the 2D shape is refined by iterative graph cuts. Graph partitioning techniques are commonly used for object segmentation.  ...  Segmentation of an object in video is performed by a series of updates to the control points and computation of a minimum graph cut.  ...  Next, the 2D shape is refined by iterative graph cuts. Graph partitioning techniques are commonly used for object segmentation.  ... 
doi:10.1145/1186415.1186483 dblp:conf/siggraph/DroriLCY04 fatcat:jews4a5frnaizolhmnu2bzjahq

Liver segmentation in contrast enhanced CT data using graph cuts and interactive 3D segmentation refinement methods

Reinhard Beichel, Alexander Bornik, Christian Bauer, Erich Sorantin
2012 Medical Physics (Lancaster)  
Methods: A graph cuts segmentation method was combined with a three-dimensional virtual reality based segmentation refinement approach.  ...  The developed interactive segmentation system allowed the user to manipulate volume chunks and=or surfaces instead of 2D contours in crosssectional images (i.e, slice-by-slice).  ...  Outline of approach The proposed approach to liver segmentation consists of two main stages: (a) initial graph cuts based segmentation and b) interactive segmentation refinement.  ... 
doi:10.1118/1.3682171 pmid:22380370 pmcid:PMC4109564 fatcat:wni4xf355nhdxd2rkpqtlkfzl4

A survey of recent interactive image segmentation methods

Hiba Ramadan, Chaymae Lachqar, Hamid Tairi
2020 Computational Visual Media  
In this paper, we focus on interactive image segmentation (IIS), often referred to as foreground-background separation or object extraction, guided by user interaction.  ...  Furthermore, we survey widely used datasets, evaluation metrics, and available resources in the field of IIS.  ...  Contour-based methods The main principle of contour-based methods is to extract object contours using edge features and prior knowledge provided by the initial user interaction.  ... 
doi:10.1007/s41095-020-0177-5 fatcat:n6njrwuohjg6tgvapz2m4hecvi

A generalized graph reduction framework for interactive segmentation of large images

Houssem-Eddine Gueziri, Michael J. McGuffin, Catherine Laporte
2016 Computer Vision and Image Understanding  
The speed of graph-based segmentation approaches, such as random walker (RW) and graph cut (GC), depends strongly on image size.  ...  The user first draws a rough contour of the object to segment.  ...  With the RCD drawing technique, the user draws a rough contour of the object to reduce the graph and later uses foreground / background labeling to refine the segmentation.  ... 
doi:10.1016/j.cviu.2016.05.009 fatcat:o5fpfxik25dxdhja6eif47f4vi

Review of Nuclei Detection, Segmentation in Microscopic Images

Rujuta O, Vyavahare AJ
2017 Journal of Bioengineering and Biomedical Sciences  
We and discussed and studied here various trends on nucleus detection, and segmentation.  ...  Recently some automatic methods have been evolving in digital histopathology with growing application related to nuclear detection and segmentation.  ...  that refined using graph cut segmentation algorithm.  ... 
doi:10.4172/2155-9538.1000227 fatcat:xxvyqhsghzgplddods4bjlulq4

INTERACTIVE SEGMENTATION OF MEDICAL IMAGES USING GRABCUT
English

RAVINDRA S HEGADI, BASAVARAJ A GOUDANNAVAR
2011 International Journal of Machine Intelligence  
Therefore segmentation of these images is a challenging. In this paper we propose the algorithm for interactive segmentation of endoscopic images using extension of original graph-cut method.  ...  In this work a more powerful, iterative version of the optimization is used; the power of the iterative algorithm is used to simplify substantially the user interaction and a robust algorithm for "border  ...  Many graph based approaches for image segmentation can be found in literature. A graph cuts based active contours (GCBAC) approach was used [13] to segment medical images.  ... 
doi:10.9735/0975-2927.3.3.168-171 fatcat:cqfxpcltbzfg5blwaaol2oqzcu

INTERACTIVE LIVER TUMOR SEGMENTATION USING GRAPHCUT AND GRABCUT

Vishnu Priya D .
2013 International Journal of Research in Engineering and Technology  
Other segmentation techniques use either contour or edge segmentation to perform segmentation. The Graph Cut techniques use both contour and edge detection.  ...  The user only need to input a very rough segmentation between foreground and background .The Graph Cut approaches to segmentation can be extended to 3-D data and can be used for segmenting 3-D volumes.  ...  "Grab-Cut" uses a graph to represent an image, and then segments this graph by using a Min-Cut/Max-Flow algorithm The inclusion of colour information in the Graph Cut algorithm and the iterative learning  ... 
doi:10.15623/ijret.2013.0210095 fatcat:n5rl54nmtfawbpszfddcuwld2q

Interactive video cutout

Jue Wang, Pravin Bhat, R. Alex Colburn, Maneesh Agrawala, Michael F. Cohen
2005 ACM Transactions on Graphics  
Our interactive video cutout system allows users to quickly extract foreground objects from video sequences for use in a variety of applications including compositing onto new backgrounds and NPR cartoon  ...  We extend previous min-cut based image segmentation techniques to the domain of video with four new contributions.  ...  Acknowledgements The authors would like to thank Ke (Colin) Zheng for help with stabilizing the hand held videos, and Aseem Agarwala for sharing his videos and expertise.  ... 
doi:10.1145/1073204.1073233 fatcat:jqut5vf635he3biowdtvdj2ihm

Iterative-cuts: longitudinal and scale-invariant segmentation via user-defined templates for rectosigmoid colon in gynecological brachytherapy

Tobias Lüddemann, Jan Egger
2016 Journal of Medical Imaging  
The proposed segmentation method uses an interactive, graph-based segmentation scheme with a user-defined template.  ...  Iterative-cuts: longitudinal and scale-invariant segmentation via user-defined templates for rectosigmoid colon in gynecological brachytherapy," Abstract.  ...  Videos of the interactive segmentation can be found under the YouTube channel: http://www .youtube.com/c/JanEgger/videos.  ... 
doi:10.1117/1.jmi.3.2.024004 pmid:27403448 pmcid:PMC4912606 fatcat:mj2owu5q7fdvjailp3zjhgw3qq

Manual Refinement System for Graph-Based Segmentation Results in the Medical Domain

Jan Egger, Rivka R. Colen, Bernd Freisleben, Christopher Nimsky
2011 Journal of medical systems  
as graph G =_ V̅ ,E̅ _ over segmentation region, b) the refined segmentation results using Graph Cuts.  ...  One, ITK-SNAP, is a medical software application that combined manual segmenta-this challenge would prove beneficial to medical doctors and domain expertsin graph-based method that represents the image  ...  Model, Live Wire method and Graph Cut approach (CLG). object localization and shape constraints which produce refined delineation. segmentation results.  ... 
doi:10.1007/s10916-011-9761-7 pmid:21826501 pmcid:PMC3691109 fatcat:mempmesf2zadtjb5ubdhtwdg7e

Automatic Image Segmentation Method Based On Alg

Christo Ananth, G. Gayathri, I.Uma Sankari, A. Vidhya, P. Karthiga
2014 Social Science Research Network  
An automatic anatomy segmentation method is proposed which effectively combines the Active Appearance Model, Live Wire and Graph Cut (ALG) ideas to exploit their complementary strengths.  ...  The purpose of initialization is to provide rough object localization and shape constraints for a latter GC method, which will produce refined delineation.  ...  And in the case of a weighted graph, it is defined as the sum of the weights of all the edges crossing the cut. The basic cuts in the graph theory are minimum cut and maximum cut. III.  ... 
doi:10.2139/ssrn.3018999 fatcat:rqtc5o3krjfvfduogaxta2ziue
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