ManageChatDiscover
146077

An Efficient Segmentation Technique for Different Medical Image Modalities

Article

Last updated: 04 Jan 2025

OverviewSimilar Items

Subjects

-

Tags

-

Abstract

In this paper, a study of the segmentation of medical images is presented. The paper provides a solid introduction to image enhancement along with image segmentation fundamentals. Firstly, the local spatial information of the image is enhanced with morphological operations to ensure noise-immunity and image detail-protection. The objective of using morphological operations is to remove the defects in the texture of the image. Secondly, fuzzy c-means (FCM) clustering is used with modification of membership function based only on the spatial neighbors instead of the distance between pixels within local spatial neighbors and cluster centers. The proposed technique is very simple to implement and significantly fast, since it is not necessary to compute the distance between the neighboring pixels and the cluster centers. It is also efficient when dealing with noisy images because of its ability to improve membership partition matrix efficiently. Experimental results performed on different medical image modalities illustrate that the proposed technique can achieve good results, as well as short time and efficient image segmentation.

DOI

10.21608/mjeer.2021.146077

Keywords

Image Segmentation, Ultrasonic, X-ray, CT, PET, MR, FCM, Morphological operations, Active contour

Authors

First Name

Amira A.

Last Name

Mahmoud

MiddleName

-

Affiliation

Depart. of Electronics and Electrical Comm., Faculty of Electronic Eng., Menoufia Uni., Egypt.

Email

-

City

-

Orcid

-

First Name

Walid

Last Name

El-Shafai

MiddleName

-

Affiliation

Depart. of Electronics and Electrical Comm., Faculty of Electronic Eng., Menoufia Uni., Egypt.

Email

eng.waled.elshafai@gmail.com

City

-

Orcid

0000-0001-7509-2120

First Name

Taha E.

Last Name

Taha

MiddleName

-

Affiliation

Depart. of Electronics and Electrical Comm., Faculty of Electronic Eng., Menoufia Uni., Egypt.

Email

-

City

-

Orcid

-

First Name

El-Sayed

Last Name

El-Rabaie

MiddleName

-

Affiliation

Depart. of Electronics and Electrical Comm., Faculty of Electronic Eng., Menoufia Uni., Egypt.

Email

-

City

-

Orcid

-

First Name

Osama

Last Name

Zahran

MiddleName

-

Affiliation

Depart. of Electronics and Electrical Comm., Faculty of Electronic Eng., Menoufia Uni., Egypt.

Email

-

City

-

Orcid

-

First Name

Adel

Last Name

El-Fishawy

MiddleName

-

Affiliation

Depart. of Electronics and Electrical Comm., Faculty of Electronic Eng., Menoufia Uni., Egypt.

Email

-

City

-

Orcid

-

First Name

Fathi E.

Last Name

Abd El-Samie

MiddleName

-

Affiliation

Depart. of Electronics and Electrical Comm., Faculty of Electronic Eng., Menoufia Uni., Egypt.

Email

-

City

-

Orcid

-

Volume

30

Article Issue

1

Related Issue

21538

Issue Date

2021-01-01

Receive Date

2021-02-03

Publish Date

2021-01-01

Page Start

22

Page End

28

Print ISSN

1687-1189

Online ISSN

2682-3535

Article File

MJEER_Volume 30_Issue 1_Pages 22-28.pdf

PDF . 1.0MB

Link

https://mjeer.journals.ekb.eg/article_146077.html

Detail API

https://mjeer.journals.ekb.eg/service?article_code=146077

Order

3

Type

Original Article

Type Code

1,088

Publication Type

Journal

Publication Title

Menoufia Journal of Electronic Engineering Research

Publication Link

https://mjeer.journals.ekb.eg/

MainTitle

An Efficient Segmentation Technique for Different Medical Image Modalities

Details

Type

Article

Created At

22 Jan 2023