A New Method for Gray Level Image Thresholding Using Spatial Correlation Features and Ultrafuzzy Measure

A New Method for Gray Level Image Thresholding Using Spatial Correlation Features and Ultrafuzzy Measure

Prof E.Sreenivasa Reddy

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Dr. CH.V.Narayana

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E. Sreenivasa Reddy

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M. Seetharama Prasad

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Acharya Nagarjuna University

A New Method for Gray Level Image Thresholding Using Spatial Correlation Features and Ultrafuzzy Measure

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Abstract

One of the most recent techniques employed to estimate an optimal threshold of a gray level image for segmentation is ultrafuzzy measures. In this paper, we introduce relative fuzzy membership degree (RFMD) taking spatial correlation among the pixels in the image into account. We also propose a novel thresholding technique by combining two-dimensional histogram, which was determined by using the gray value of the pixels and the local average gray value of the pixels using ultrafuzziness and RFMD. Compared to fuzzy membership degree, RFMD of type-II fuzzy sets and ultrafuzzy measure is able to better segment critical gray level images. It was observed that the outcome is so encouraging in objective and subjective perspectives over the existing method for all varieties of images.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Prof E.Sreenivasa Reddy. 2013. \u201cA New Method for Gray Level Image Thresholding Using Spatial Correlation Features and Ultrafuzzy Measure\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 12 (GJCST Volume 12 Issue F15): .

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GJCST Volume 12 Issue F15
Pg. 33- 42

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

relative gray value type-i fuzzy type-ii fuzzy ultra fuzziness

Submission ReceivedFebruary 14, 2012
Peer Review Double Blind
Handling Editor
Accepted March 5, 2012
Published March 15, 2012

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v1.2

Issue date

January 5, 2013

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Article Matrices

Total Score: 108

Country: India

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Dr. CH.V.Narayana, E. Sreenivasa Reddy, M. Seetharama Prasad (PhD/Dr. count: 1)

View Count (all-time): 246

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Publish Date: 2013 01, Sat

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Total Views: 9834

Total Downloads: 2564

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