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DOI: 10.14569/IJACSA.2018.091165
PDF

Edge Detection on DICOM Image using Triangular Norms in Type-2 Fuzzy

Author 1: D. Nagarajan
Author 2: M.Lathamaheswari
Author 3: R.Sujatha
Author 4: J.Kavikumar

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 11, 2018.

  • Abstract and Keywords
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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.

Keywords: Aggregation operators; T norm; T conorm; triangular interval type-2 fuzzy number (TIT2FN); fuzzy morphology; gray scale Image; medical image processing

D. Nagarajan, M.Lathamaheswari, R.Sujatha and J.Kavikumar, “Edge Detection on DICOM Image using Triangular Norms in Type-2 Fuzzy” International Journal of Advanced Computer Science and Applications(IJACSA), 9(11), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091165

@article{Nagarajan2018,
title = {Edge Detection on DICOM Image using Triangular Norms in Type-2 Fuzzy},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.091165},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091165},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {11},
author = {D. Nagarajan and M.Lathamaheswari and R.Sujatha and J.Kavikumar}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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