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

Article ID

CSTGVX4C8L

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

Dr. CH.V.Narayana
Dr. CH.V.Narayana
E. Sreenivasa Reddy
E. Sreenivasa Reddy
M. Seetharama Prasad
M. Seetharama Prasad
DOI

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.

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

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.

Dr. CH.V.Narayana
Dr. CH.V.Narayana
E. Sreenivasa Reddy
E. Sreenivasa Reddy
M. Seetharama Prasad
M. Seetharama Prasad

No Figures found in article.

Prof E.Sreenivasa Reddy. 2013. “. Global Journal of Computer Science and Technology – F: Graphics & Vision GJCST-F Volume 12 (GJCST Volume 12 Issue F15): .

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Issue Cover
GJCST Volume 12 Issue F15
Pg. 33- 42
Classification
Not Found
Article Matrices
Total Views: 9775
Total Downloads: 2476
2026 Trends
Research Identity (RIN)
Related Research
Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

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

Dr. CH.V.Narayana
Dr. CH.V.Narayana
E. Sreenivasa Reddy
E. Sreenivasa Reddy
M. Seetharama Prasad
M. Seetharama Prasad

Research Journals