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DOI: 10.14569/SpecialIssue.2011.010107
PDF

Recombinant Skeleton Using Junction Points in Skeleton Based Images

Author 1: Komala Lakshmi
Author 2: Dr.M.Punithavalli

International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Image Processing and Analysis, 2011.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: We perform the task of combining two skeleton images and to produce the recombinant skeleton. We propose the recombinant skeleton algorithm to produce the recombinant skeletons. The existing skeleton representation has been taken and the merge vertex detection algorithm was used before applying the recombinant skeleton algorithm. We can design and apply this recombinant skeleton in motion detection, image matching, tracking, panorama stitching, 3D modeling and object recognition. We can generate or manufacture the true real time object from the recombinant skeleton produced. The proposed method utilize local search algorithm for junction validation. Our frame work suggests the range of possibility in getting the recombinant skeleton. The boundary is essential for any transformation hence the bamboo skeleton algorithm is deployed for computing the boundary and for storing the skeleton together with the boundary. Thus our representation is skeleton with border or outline. From this new skeleton representation the proposed recombinant is achieved.

Keywords: Recombinant skeleton; bamboo skeleton; valance skeleton point (VSP); core skeleton point(CSP); junction skeleton points (JSP).

Komala Lakshmi and Dr.M.Punithavalli, “Recombinant Skeleton Using Junction Points in Skeleton Based Images” International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Image Processing and Analysis, 2011. http://dx.doi.org/10.14569/SpecialIssue.2011.010107

@article{Lakshmi2011,
title = {Recombinant Skeleton Using Junction Points in Skeleton Based Images},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Image Processing and Analysis}
doi = {10.14569/SpecialIssue.2011.010107},
url = {http://dx.doi.org/10.14569/SpecialIssue.2011.010107},
year = {2011},
publisher = {The Science and Information Organization},
volume = {1},
number = {1},
author = {Komala Lakshmi and Dr.M.Punithavalli},
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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