Image segmentation-based optimization algorithms: A Review
Mohamed, A., Mahmoud, M., Hemeida, A. (2022). Image segmentation-based optimization algorithms: A Review. EKB Journal Management System, 2(1), 53-72. doi: 10.21608/aujst.2022.261731
Amal Yassen Mohamed; Mountasser Mahmoud; Ashraf Mohamed Hemeida. "Image segmentation-based optimization algorithms: A Review". EKB Journal Management System, 2, 1, 2022, 53-72. doi: 10.21608/aujst.2022.261731
Mohamed, A., Mahmoud, M., Hemeida, A. (2022). 'Image segmentation-based optimization algorithms: A Review', EKB Journal Management System, 2(1), pp. 53-72. doi: 10.21608/aujst.2022.261731
Mohamed, A., Mahmoud, M., Hemeida, A. Image segmentation-based optimization algorithms: A Review. EKB Journal Management System, 2022; 2(1): 53-72. doi: 10.21608/aujst.2022.261731

Image segmentation-based optimization algorithms: A Review

Aswan University Journal of Sciences and Technology
Volume 2, Issue 1, June 2022, Page 53-72  XML PDF (939.8 K)
Document Type: Review papers
DOI: 10.21608/aujst.2022.261731
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Authors
Amal Yassen Mohamed1; Mountasser Mahmoud1; Ashraf Mohamed Hemeida2
1Electrical Engineering Deparmtment, Faculty of Engineering, Aswan University
2Electrical Engineering Department, Faculty of Energy Engineering, Aswan University
Abstract
Image segmentation is the division of a digital image into multiple subgroups of pixels known as Image Objects. This procedure can minimize the complexity of the image, making image analysis easier. Image Segmentation is one of the most crucial areas in computer vision and one of the oldest research questions. There are many useful applications of image processing such as image sharpening, blurring, grayscale conversion, and edges detection that can be utilized in different domains. Digital image processing employing neural networks has gained popularity recently because of the expansion of artificial intelligence algorithms and its ecosystem. It can be used in a wide range of industries, including security, banks, the military, agriculture, law enforcement, manufacturing, and medicine.
Keywords
Image Segmentation; Particle Swarm Optimization (PSO); K-means; Poplar Optimization Algorithm (POA); Neutral Network
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