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Reseach Article

New Fuzzy Algorithm to Inspect Adenoids

by Md.Sarwar kamal, Sonia Farhana Nimmy
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 21
Year of Publication: 2012
Authors: Md.Sarwar kamal, Sonia Farhana Nimmy
10.5120/6385-8463

Md.Sarwar kamal, Sonia Farhana Nimmy . New Fuzzy Algorithm to Inspect Adenoids. International Journal of Computer Applications. 43, 21 ( April 2012), 6-13. DOI=10.5120/6385-8463

@article{ 10.5120/6385-8463,
author = { Md.Sarwar kamal, Sonia Farhana Nimmy },
title = { New Fuzzy Algorithm to Inspect Adenoids },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 43 },
number = { 21 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 6-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume43/number21/6385-8463/ },
doi = { 10.5120/6385-8463 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:34:17.684888+05:30
%A Md.Sarwar kamal
%A Sonia Farhana Nimmy
%T New Fuzzy Algorithm to Inspect Adenoids
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 21
%P 6-13
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Children are the most beautiful and innocent part of our life irrespective of any cast and religion. But they are the most vulnerable to be affected by any kind of diseases as well as harm due to their natural immaturity. One of the vital suffering for the kids is Adenoid. Adenoids (or pharyngeal tonsil, or nasopharyngeal tonsil) are a mass of lymphoid tissue situated posterior to the nasal cavity, in the roof of the nasopharynx, where the nose blends into the throat. Normally, in children, they make a soft mound in the roof and posterior wall of the nasopharynx, just above and behind the uvula. In this research we first imposed the Fuzzy C-means algorithm to our sample image and observed its value. After getting the experimental result from Fuzzy C-means we have had designed new Fuzzy algorithm which aftereffect better than the previous one. We have had espy that our proposed algorithm is twenty (20%) percent better than Fuzzy C-means algorithm

References
  1. Samy Sadek, Ayoub Al-Hamadi, Axel Panning, Bernd Michaelis, Usama Sayed, "A New Approach to Image Segmentation via Fuzzification of Rènyi Entropy of Generalized Distributions", World Academy of Science, Engineering and Technology 56 2009.
  2. Roman Fri?c and Martin Pap?co, "Fuzzification Of Crisp Domains, Kybernetika" VOLUME 4 6 ( 2 0 1 0 ) , NUMBER 6 , PAGES 1 0 0 9 – 1 0 2 4.
  3. . Min Guo, Jian-Bo Yang, Kwai-Sang Chin, and Hongwei Wang, "The Evidential Reasoning Approach for Multi-attribute Decision Analysis"
  4. Prof. Dr Kamrul Hassan Tarafder MBBS, FCPS, FICS," Adenoids",in Health Magazize,The independent Bangladesh Monday, 30 January 2012.
  5. Weihua Wang, "Reach on Sobel Operator for Vehicle
  6. Recognition", in proc. IEEE International Joint Conference
  7. on Artificial Intelligence 2009, July 2009, California, USA.
  8. Dimitri Van De Ville, Member, IEEE, Mike Nachtegael, Dietrich Van der Weken, Etienne E. Kerre, Wilfried Philips, "Noise Reduction by Fuzzy Image Filtering", IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 11, NO. 4, AUGUST 2003.
  9. Stefanakis, E. ; Sellis, T. - Enhancing a Database Management System for GIS with Fuzzy Set Methodologies, Proceedings of the 19th International Cartographic Conference, Ottawa, Canada, August 1999.
  10. M. Törmä. Introduction to neural networks and their use in remote sensing. Photogrammetric Journal of Finland. 13(1): 87-102. 1992.
  11. Liu, H. , Li. J. , Chapman, M. A. ;- Automated Road Extraction from Satellite Imagery Using Hybrid Genetic Algorithms and Cluster Analysis, Journal of Environmental Informatics 1 (2) 40-47 (2003)
  12. Guesgen, H. ;Hertzberg, J. ; Lobb, R. ;Mantler, A. { Bu_ering Fuzzy Maps in GIS, Spatial Cognition and Computation, 2003
  13. W. K. Pratt. Digital Image Processing. John Wiley & Sons. NY. 1991
  14. Eastman, R { Idrisi 32 Release 2, Guide to GIS and Image Processing, Volume I- II, Clark University, May 2001
  15. Benz, U. ; Hofmann, P. ; Willhauck, G. ; Lingenfelder, I. ; Heynen, M. - Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information, Journal of Photogrammetry & Remote Sensing, 2004
Index Terms

Computer Science
Information Sciences

Keywords

New Fuzzy Algorithm Fuzzy C-means Algorithm Nasopharynx Lymphoid Tissue Uvula.