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Paper Title
Object Extraction Using Image Segmentation and Adaptive Constraint Propagation
  Rajeshwary Patel,  Swarndeep Saket

Object Extraction is a closely related issue with the segmentation process. Image Segmentation is a process of dividing an image into sub partition based on some characteristics like color, intensity etc. The main goal of object extraction is to change the representation of an image into something more meaningful. To extract an object from the image first we have to segment the entire image. User select the region as background and foreground by using the markers and then the algorithm will segment the image and the foreground region will be extracted from the image. The key to success in interactive image segmentation is to preserve characteristics of the user’s interactive information and maintain global data effectively. This paper provides a review on current trends in object or foreground extraction together with a study on technologies implemented by some researchers in this area. This will help to predict, pointing towards a number of areas of future research in the field of Object extraction with Image segmentation.

Keywords- Object Extraction, Interactive Image segmentation
Publication Details
Unique Identification Number - IJEDR1702150
Page Number(s) - 896-900
Pubished in - Volume 5 | Issue 2 | May 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Rajeshwary Patel,  Swarndeep Saket,   "Object Extraction Using Image Segmentation and Adaptive Constraint Propagation", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.896-900, May 2017, Available at :http://www.ijedr.org/papers/IJEDR1702150.pdf
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