A thresholding method based on interval-valued intuitionistic fuzzy sets: an application to image segmentation
This paper proposes a new fuzzy approach for the segmentation of images. L-interval-valued intuitionistic fuzzy sets (IVIFSs) are constructed from two L-fuzzy sets that corresponds to the foreground (object) and the background of an image. Here, L denotes the number of gray levels in the image. The...
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| Format: | Article |
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Springer Verlag
2018
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| _version_ | 1796961637681332224 |
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| author | Ananthi, V.P. Balasubramaniam, Pagavathi Paramesran, Raveendran |
| author_facet | Ananthi, V.P. Balasubramaniam, Pagavathi Paramesran, Raveendran |
| author_sort | Ananthi, V.P. |
| collection | UM |
| description | This paper proposes a new fuzzy approach for the segmentation of images. L-interval-valued intuitionistic fuzzy sets (IVIFSs) are constructed from two L-fuzzy sets that corresponds to the foreground (object) and the background of an image. Here, L denotes the number of gray levels in the image. The length of the membership interval of IVIFS quantifies the influence of the ignorance in the construction of the membership function. Threshold for an image is chosen by finding an IVIFS with least entropy. Contributions also include a comparative study with ten other image segmentation techniques. The results obtained by each method have been systematically evaluated using well-known measures for judging the segmentation quality. The proposed method has globally shown better results in all these segmentation quality measures. Experiments also show that the results acquired from the proposed method are highly correlated to the ground truth images. |
| first_indexed | 2024-03-06T05:57:05Z |
| format | Article |
| id | um.eprints-22476 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:57:05Z |
| publishDate | 2018 |
| publisher | Springer Verlag |
| record_format | dspace |
| spelling | um.eprints-224762019-09-20T06:21:59Z http://eprints.um.edu.my/22476/ A thresholding method based on interval-valued intuitionistic fuzzy sets: an application to image segmentation Ananthi, V.P. Balasubramaniam, Pagavathi Paramesran, Raveendran QA Mathematics TK Electrical engineering. Electronics Nuclear engineering This paper proposes a new fuzzy approach for the segmentation of images. L-interval-valued intuitionistic fuzzy sets (IVIFSs) are constructed from two L-fuzzy sets that corresponds to the foreground (object) and the background of an image. Here, L denotes the number of gray levels in the image. The length of the membership interval of IVIFS quantifies the influence of the ignorance in the construction of the membership function. Threshold for an image is chosen by finding an IVIFS with least entropy. Contributions also include a comparative study with ten other image segmentation techniques. The results obtained by each method have been systematically evaluated using well-known measures for judging the segmentation quality. The proposed method has globally shown better results in all these segmentation quality measures. Experiments also show that the results acquired from the proposed method are highly correlated to the ground truth images. Springer Verlag 2018 Article PeerReviewed Ananthi, V.P. and Balasubramaniam, Pagavathi and Paramesran, Raveendran (2018) A thresholding method based on interval-valued intuitionistic fuzzy sets: an application to image segmentation. Pattern Analysis and Applications, 21 (4). pp. 1039-1051. ISSN 1433-7541, DOI https://doi.org/10.1007/s10044-017-0622-y <https://doi.org/10.1007/s10044-017-0622-y>. https://doi.org/10.1007/s10044-017-0622-y doi:10.1007/s10044-017-0622-y |
| spellingShingle | QA Mathematics TK Electrical engineering. Electronics Nuclear engineering Ananthi, V.P. Balasubramaniam, Pagavathi Paramesran, Raveendran A thresholding method based on interval-valued intuitionistic fuzzy sets: an application to image segmentation |
| title | A thresholding method based on interval-valued intuitionistic fuzzy sets: an application to image segmentation |
| title_full | A thresholding method based on interval-valued intuitionistic fuzzy sets: an application to image segmentation |
| title_fullStr | A thresholding method based on interval-valued intuitionistic fuzzy sets: an application to image segmentation |
| title_full_unstemmed | A thresholding method based on interval-valued intuitionistic fuzzy sets: an application to image segmentation |
| title_short | A thresholding method based on interval-valued intuitionistic fuzzy sets: an application to image segmentation |
| title_sort | thresholding method based on interval valued intuitionistic fuzzy sets an application to image segmentation |
| topic | QA Mathematics TK Electrical engineering. Electronics Nuclear engineering |
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