Edge detection on DICOM image using triangular norms in Type-2 fuzzy
In image processing, edge detection is an important venture. Fuzzy logic plays a vital role in image processing to deal with lacking in quality of an image or imprecise in nature. This present study contributes an authentic method of fuzzy edge detection through image segmentation. Gradient of the i...
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| Format: | Article |
| Language: | English |
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SAI Organization
2018
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| Online Access: | http://eprints.uthm.edu.my/5561/1/AJ%202018%20%28878%29%20Edge%20detection%20on%20DICOM%20image%20using%20triangular%20norms%20in%20Type-2%20fuzzy.pdf |
| _version_ | 1796869220831592448 |
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| author | Nagarajan, D. Lathamaheswari, M. Sujatha, R. Kavikumar, J. |
| author_facet | Nagarajan, D. Lathamaheswari, M. Sujatha, R. Kavikumar, J. |
| author_sort | Nagarajan, D. |
| collection | UTHM |
| description | In image processing, edge detection is an important venture. Fuzzy logic plays a vital role in image processing to deal with lacking in quality of an image or imprecise in nature. This present study contributes an authentic method of fuzzy edge detection through image segmentation. Gradient of the image is done by triangular norms to extract the information. Triangular norms (T norms) and triangular conorms (T conorms) are specialized in dealing uncertainty. Therefore triangular norms are chosen with minimum and maximum operators for the purpose of morphological operations. Also, mathematical properties of aggregation operator to represent the role of morphological operations using Triangular Interval Type-2 Fuzzy Yager Weighted Geometric (TIT2FYWG) and Triangular Interval Type-2 Fuzzy Yager Weighted Arithmetic (TIT2FYWA) operators are derived. These properties represent the components of image processing. Here Edge detection is done for DICOM image by converting into 2D gray scale image, using Type-2 fuzzy MATLAB and which is the novelty of this work. |
| first_indexed | 2024-03-05T21:51:36Z |
| format | Article |
| id | uthm.eprints-5561 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:51:36Z |
| publishDate | 2018 |
| publisher | SAI Organization |
| record_format | dspace |
| spelling | uthm.eprints-55612022-01-17T01:32:05Z http://eprints.uthm.edu.my/5561/ Edge detection on DICOM image using triangular norms in Type-2 fuzzy Nagarajan, D. Lathamaheswari, M. Sujatha, R. Kavikumar, J. T57-57.97 Applied mathematics. Quantitative methods T57.6-57.97 Operations research. Systems analysis In image processing, edge detection is an important venture. Fuzzy logic plays a vital role in image processing to deal with lacking in quality of an image or imprecise in nature. This present study contributes an authentic method of fuzzy edge detection through image segmentation. Gradient of the image is done by triangular norms to extract the information. Triangular norms (T norms) and triangular conorms (T conorms) are specialized in dealing uncertainty. Therefore triangular norms are chosen with minimum and maximum operators for the purpose of morphological operations. Also, mathematical properties of aggregation operator to represent the role of morphological operations using Triangular Interval Type-2 Fuzzy Yager Weighted Geometric (TIT2FYWG) and Triangular Interval Type-2 Fuzzy Yager Weighted Arithmetic (TIT2FYWA) operators are derived. These properties represent the components of image processing. Here Edge detection is done for DICOM image by converting into 2D gray scale image, using Type-2 fuzzy MATLAB and which is the novelty of this work. SAI Organization 2018 Article PeerReviewed text en http://eprints.uthm.edu.my/5561/1/AJ%202018%20%28878%29%20Edge%20detection%20on%20DICOM%20image%20using%20triangular%20norms%20in%20Type-2%20fuzzy.pdf Nagarajan, D. and Lathamaheswari, M. and Sujatha, R. and Kavikumar, J. (2018) Edge detection on DICOM image using triangular norms in Type-2 fuzzy. International Journal of Advanced Computer Science and Applications, 9 (11). pp. 462-475. ISSN 2158-107X |
| spellingShingle | T57-57.97 Applied mathematics. Quantitative methods T57.6-57.97 Operations research. Systems analysis Nagarajan, D. Lathamaheswari, M. Sujatha, R. Kavikumar, J. Edge detection on DICOM image using triangular norms in Type-2 fuzzy |
| title | Edge detection on DICOM image using triangular norms in Type-2 fuzzy |
| title_full | Edge detection on DICOM image using triangular norms in Type-2 fuzzy |
| title_fullStr | Edge detection on DICOM image using triangular norms in Type-2 fuzzy |
| title_full_unstemmed | Edge detection on DICOM image using triangular norms in Type-2 fuzzy |
| title_short | Edge detection on DICOM image using triangular norms in Type-2 fuzzy |
| title_sort | edge detection on dicom image using triangular norms in type 2 fuzzy |
| topic | T57-57.97 Applied mathematics. Quantitative methods T57.6-57.97 Operations research. Systems analysis |
| url | http://eprints.uthm.edu.my/5561/1/AJ%202018%20%28878%29%20Edge%20detection%20on%20DICOM%20image%20using%20triangular%20norms%20in%20Type-2%20fuzzy.pdf |
| work_keys_str_mv | AT nagarajand edgedetectionondicomimageusingtriangularnormsintype2fuzzy AT lathamaheswarim edgedetectionondicomimageusingtriangularnormsintype2fuzzy AT sujathar edgedetectionondicomimageusingtriangularnormsintype2fuzzy AT kavikumarj edgedetectionondicomimageusingtriangularnormsintype2fuzzy |