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63179

Medical Image Segmentation Techniques, a Literature Review, and Some Novel Trends

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Last updated: 25 Dec 2024

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Abstract

Segmentation requires the separation or division of an image into regions of similar properties. Image amplitude is the most basic attribute for image segmentation. Image texture and edges are also useful properties for the segmentation process. There is no standard approach for segmentation of an image; no single theory for image segmentation. Segmentation of an image is usually used to mark and determine boundaries and objects (curves, lines, etc.) in an image. More precisely, image segmentation is the process of labeling of every pixel in the image where pixels having the same properties have the same visual properties and share the same group. The result of segmentation process is a number of regions or segments that cover the whole image, or a number of extracted edges and contours of the image. All pixels in the same region are similar according to some characteristics or properties, such as texture, intensity, or color. In this paper a literature review of the various segmentation methods that are available for medical images is presented. Because of image segmentation importance, a set of image segmentation techniques namely; Thresholding techniques, Clustering techniques, Artificial Neural Networks, Edge based techniques, Region based techniques, Watershed, Graph based and Deformable models have been discussed and compared. The features and requirements of several freely and commercial software tools for image segmentation are clarified. The paper is ended by focusing on the novel trends on the topic.

DOI

10.21608/mjeer.2018.63179

Authors

First Name

Amira A.

Last Name

Mahmoud

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Affiliation

Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University

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First Name

El-Sayed M.

Last Name

El-Rabaie

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-

Affiliation

Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University

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First Name

Taha E.

Last Name

Taha

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-

Affiliation

Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University

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Orcid

-

First Name

Adel

Last Name

Elfishawy

MiddleName

-

Affiliation

Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University

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Orcid

-

First Name

Osama

Last Name

Zahran

MiddleName

-

Affiliation

Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University

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Orcid

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First Name

Fathi E.

Last Name

Abd El-Samie

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-

Affiliation

Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University

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Volume

27

Article Issue

2

Related Issue

9505

Issue Date

2018-07-01

Receive Date

2016-09-20

Publish Date

2018-07-01

Page Start

23

Page End

58

Print ISSN

1687-1189

Online ISSN

2682-3535

Article File

MJEER_Volume 27_Issue 2_Pages 23-58.pdf

PDF . 877.2kB

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https://mjeer.journals.ekb.eg/article_63179.html

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https://mjeer.journals.ekb.eg/service?article_code=63179

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Original Article

Type Code

1,088

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Journal

Publication Title

Menoufia Journal of Electronic Engineering Research

Publication Link

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

MainTitle

Medical Image Segmentation Techniques, a Literature Review, and Some Novel Trends

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Article

Created At

22 Jan 2023