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Volume & Issue no: Volume 6, Issue 5, September - October 2017

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Title:
Image segmentation using fuzzy Lomax-Gumbel Distribution
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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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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