Volume 8 Issue 1 - January 2017

  • 1. Interactive natural image segmentation with regression based clustering algorithm

    Authors : David Solomon Raju Y, D. Krishna Reddy

    Pages : 494-497

    DOI : http://dx.doi.org/10.21172/1.81.063

    Keywords : region based segmentationglobal colour distributionactive contouredge based segmentation

    Abstract :

    The scope of this paper is to segment an object from the natural image irrespective of its background. This paper presents a novel approach of region based segmentation with linear regression employed with it. The proposed approach separates foreground and background pixel values based on an interactive labeling from the user. Interactive based segmentation is of great importance in research since it provides more accurate results than the learning based segmentation algorithms. The proposed is applied on several images from the available standard databases and also the performance is assessed with regards to several existing approaches. Results show that the proposed approach is consuming very low time for processing.

    Citing this Journal Article :

    David Solomon Raju Y, D. Krishna Reddy, "Interactive natural image segmentation with regression based clustering algorithm", https://www.ijltet.org/journal_details.php?id=910&j_id=3623, Volume 8 Issue 1 - January 2017, 494-497, #ijltetorg