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COMPARITIVE ANALYSIS OF FLLT AND JSEG

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CONTRIBUTORS:
  Author Dr.A.S.C.S.Sastry
  Author K.N.H.Srinivas
  Author Ch V S R G Krishna
  Author Ch.Sesha KiranKumar
JOURNAL:
  International Journal on Computer Science and Engineering (IJCSE), 2(8), 2641 - 2647.
YEAR: 2010
PUB TYPE: Journal Article
SUBJECT(S): FLLT, JSegmentation, Texture Classification, Peer Group Filter.
DISCIPLINE: Computer Science
HTTP: http://www.enggjournals.com/ijcse/doc/IJCSE10-02-08-121.pdf
LANGUAGE: English
PUB ID: 103-488-814 (Last edited on 2011/06/13 22:57:00 GMT-6)
SPONSOR(S):
 
ABSTRACT:
The main key point of preferential image segmentation is to segment object of user interest based on intensities, boundaries and texture and ignoring the remaining portions. It explains the trees of shapes to represent image content. In the tree of shape we use algorithms called as FLLT (Fast Level Line Transform) and JSEG (Jsegmentation). Here both the algorithm are compared and an analysis is done to display the result of objects selected from prior images.
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