Subject review: Image segmentation techniques

Amal Abbas Kadhim; Wedad Abdul Khuder Naser; Safana Hyder Abbas

doi:10.30574/gjeta.2022.13.3.0207

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Subject review: Image segmentation techniques

Amal Abbas Kadhim ^*, Wedad Abdul Khuder Naser and Safana Hyder Abbas

Department of computer science, University Al Mustansiriyah, Baghdad, Iraq.

Research Article

Global Journal of Engineering and Technology Advances, 2022, 13(03), 081-085.

Article DOI: 10.30574/gjeta.2022.13.3.0207

DOI url: https://doi.org/10.30574/gjeta.2022.13.3.0207

Publication history

Received on 02 November 2022; revised on 17 December 2022; accepted on 19 December 2022

Abstract

Image segmentation is the most critical functions in image analysis and processing. Image segmentation is a mechanism used to divide an image into multiple segments. It will make image smooth and easy to evaluate. Segmentation is the most essential and crucial process for facilitating the delineation, characterization, and visualization of regions of interest in a particular image. The main goal is to make image more simple and meaningful. This survey present background reviews of various image segmentation techniques, evaluates them and presents the issues related to those techniques.

Keywords

Image segmentation; Thresholding techniques; Fuzzy HNN; Clustering; K-means bunching approach

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How to cite this article

Amal Abbas Kadhim, Wedad Abdul Khuder Naser and Safana Hyder Abbas. Subject review: Image segmentation techniques. Global Journal of Engineering and Technology Advances, 2022, 13(3), 081-085. Article DOI: https://doi.org/10.30574/gjeta.2022.13.3.0207

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