International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org
Call for Paper, Published Articles, Indexing Infromation
Title: |
Image segmentation using fuzzy Lomax-Gumbel Distribution
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Author Name: |
Dillip Ranjan Nayak, Dr.Basanta Kumar Swain |
Abstract: |
Abstract: Images contain lots of uncertainties due to
randomness. The contrast between the objects and the
background can also be viewed as fuzzy in nature. Fuzzy
approach is chosen to minimize ambiguity inherent in the
images. So, different fuzzy thresholding techniques have been
developed to remove the grayness ambiguity/vagueness using
threshold selection. In this paper, a new fuzzy thresholding
technique is introduced which processes Lomax-Gumbel
probability distribution as the membership function. To show
the effectiveness of the proposed method, the results are
compared with fuzzy divergence method using gamma
membership function. Experiments on several images show that
the proposed segmentation method performs better than the
existing method.
Keywords: Lomax- Gumbel distribution; Fuzzy
Divergence; Membership function; Thresholding; Signal to
noise ratio. |
Cite this article: |
Dillip Ranjan Nayak, Dr.Basanta Kumar Swain , "
Image segmentation using fuzzy Lomax-Gumbel Distribution
" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS),
Volume 6, Issue 5, September - October 2017 , pp.
167-173 , ISSN 2278-6856.
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