Edge detection on DICOM image using triangular norms in Type-2 fuzzy

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

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	Aggregation operators; T norm; T conorm; triangular interval type-2 fuzzy number (TIT2FN); fuzzy morphology; gray scale Image; medical image processing
Subjects:	T Technology > T Technology (General) > T55.4-60.8 Industrial engineering. Management engineering > T57-57.97 Applied mathematics. Quantitative methods T Technology > T Technology (General) > T55.4-60.8 Industrial engineering. Management engineering > T57-57.97 Applied mathematics. Quantitative methods > T57.6-57.97 Operations research. Systems analysis
Divisions:	Faculty of Applied Science and Technology > Department of Mathematics and Statistics
Depositing User:	UiTM Student Praktikal
Date Deposited:	17 Jan 2022 01:32
Last Modified:	17 Jan 2022 01:32
URI:	http://eprints.uthm.edu.my/id/eprint/5561

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