Research Article
MAFA: Multispectral Adaptive Fuzzy Algorithm for Edge Detection on MRI of Head Scan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 182 - Issue 48 |
| Published: Apr 2019 |
| Authors: Humera Tariq, Muhammad Shahbaz, Humera |
10.5120/ijca2019918737
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Humera Tariq, Muhammad Shahbaz, Humera . MAFA: Multispectral Adaptive Fuzzy Algorithm for Edge Detection on MRI of Head Scan. International Journal of Computer Applications. 182, 48 (Apr 2019), 49-54. DOI=10.5120/ijca2019918737
@article{ 10.5120/ijca2019918737,
author = { Humera Tariq,Muhammad Shahbaz,Humera },
title = { MAFA: Multispectral Adaptive Fuzzy Algorithm for Edge Detection on MRI of Head Scan },
journal = { International Journal of Computer Applications },
year = { 2019 },
volume = { 182 },
number = { 48 },
pages = { 49-54 },
doi = { 10.5120/ijca2019918737 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2019
%A Humera Tariq
%A Muhammad Shahbaz
%A Humera
%T MAFA: Multispectral Adaptive Fuzzy Algorithm for Edge Detection on MRI of Head Scan%T
%J International Journal of Computer Applications
%V 182
%N 48
%P 49-54
%R 10.5120/ijca2019918737
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The purpose of this research is to propose a new Multispectral Adaptive Fuzzy Algorithm (MAFA) for edge detection in Magnetic Resonance Images (MRI). Edge detection is primary pre-segmentation process of MRI. Human structure is envisioned through 3-dimension images provided by MRI. MAFA, 40 Fuzzy Rules based algorithm, is proposed for edge detection because it is efficient in time consumption and processing calculations, effective in results and easier to use than other methods like Canny, Sobel, etcetera. Application of MAFA on 159 images produced sharper and clearer edges than other methods. Average time to process one image is 16 milliseconds which is 61% of time consumed by second best method.
References
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