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Fuzzy Edge Detection Using Minimum Cross Entropy Thresholding for MRI Brain Image

N.Senthilkumaran 1 , C.Kirubakaran 2 , N. Tamilmani3

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-7 , Page no. 271-274, Jul-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i7.271274

Online published on Jul 31, 2018

Copyright © N.Senthilkumaran, C.Kirubakaran, N. Tamilmani . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: N.Senthilkumaran, C.Kirubakaran, N. Tamilmani, “Fuzzy Edge Detection Using Minimum Cross Entropy Thresholding for MRI Brain Image,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.271-274, 2018.

MLA Style Citation: N.Senthilkumaran, C.Kirubakaran, N. Tamilmani "Fuzzy Edge Detection Using Minimum Cross Entropy Thresholding for MRI Brain Image." International Journal of Computer Sciences and Engineering 6.7 (2018): 271-274.

APA Style Citation: N.Senthilkumaran, C.Kirubakaran, N. Tamilmani, (2018). Fuzzy Edge Detection Using Minimum Cross Entropy Thresholding for MRI Brain Image. International Journal of Computer Sciences and Engineering, 6(7), 271-274.

BibTex Style Citation:
@article{Tamilmani_2018,
author = {N.Senthilkumaran, C.Kirubakaran, N. Tamilmani},
title = {Fuzzy Edge Detection Using Minimum Cross Entropy Thresholding for MRI Brain Image},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2018},
volume = {6},
Issue = {7},
month = {7},
year = {2018},
issn = {2347-2693},
pages = {271-274},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2427},
doi = {https://doi.org/10.26438/ijcse/v6i7.271274}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i7.271274}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2427
TI - Fuzzy Edge Detection Using Minimum Cross Entropy Thresholding for MRI Brain Image
T2 - International Journal of Computer Sciences and Engineering
AU - N.Senthilkumaran, C.Kirubakaran, N. Tamilmani
PY - 2018
DA - 2018/07/31
PB - IJCSE, Indore, INDIA
SP - 271-274
IS - 7
VL - 6
SN - 2347-2693
ER -

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Abstract

In this paper, the aim is finding the accurate edge of the brain image. Edge detection is the most important task in medical applications. Edge detection is the boundary of the particular image. MRI brain analysis is used for visualizing, analyzing and measuring the brain parts. Thresholding is the basic tool for image segmentation. Thresholding generate the binary image from the grayscale image by using some threshold value. Segmentation is the process to assign the pixels in the image to two or more classes. Here, this paper threshold the MRI Brain image using Minimum Cross-Entropy Thresholding. The cross entropy is the computationally attracting algorithm and the cross entropy is formulated in pixel to pixel basis. Then the resulting thresholding image applied the Fuzzy interface system. The Fuzzy Interface System has the many rules. The thresholding image checks the each rule, then identify the edge. The experiment is using the MRI brain image.

Key-Words / Index Term

Minimum Cross Entropy Thresholding, Fuzzy Edge detection, Fuzzy interface system, MRI head scans

References

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