publication . Other literature type . Article . 2017

CLG for Automatic Image Segmentation

Christo Ananth; Priya, S. Santhana; Manisha, S.; Jothi, T. Ezhil; Ramasubhaeswari, M. S.;
Open Access
  • Published: 18 Aug 2017
  • Publisher: Zenodo
Abstract
This paper proposes an automatic segmentation method which effectively combines Active Contour Model, Live Wire method and Graph Cut approach (CLG). The aim of Live wire method is to provide control to the user on segmentation process during execution. Active Contour Model provides a statistical model of object shape and appearance to a new image which are built during a training phase. In the graph cut technique, each pixel is represented as a node and the distance between those nodes is represented as edges. In graph theory, a cut is a partition of the nodes that divides the graph into two disjoint subsets. For initialization, a pseudo strategy is employed and...
Subjects
arXiv: Computer Science::Computer Vision and Pattern Recognition
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
free text keywords: Oriented Active Contour Appearance Model, Active Contour Model, Computed Tomography, Live Wire method, Graph Cut approach., Computer vision, Computer science, Image segmentation, Scale-space segmentation, Artificial intelligence, business.industry, business
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Zenodo
Other literature type . 2017
Provider: Datacite
Zenodo
Other literature type . 2017
Provider: Datacite
ZENODO
Article . 2017
Provider: ZENODO
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publication . Other literature type . Article . 2017

CLG for Automatic Image Segmentation

Christo Ananth; Priya, S. Santhana; Manisha, S.; Jothi, T. Ezhil; Ramasubhaeswari, M. S.;