Image Segmentation Using Hybrid Optimization Algorithms: Review | ||||
Aswan University Journal of Sciences and Technology | ||||
Volume 2, Issue 2, December 2022, Page 86-104 PDF (644.67 K) | ||||
Document Type: Review papers | ||||
DOI: 10.21608/aujst.2023.183546.1012 | ||||
View on SCiNiTO | ||||
Authors | ||||
Ashraf Mohamed Hemeida 1; Heba GamalEldeen Yahya2; Hamida Al-Sanary2 | ||||
1Department of Electrical Engineering, Faculty of Energy Engineering | ||||
2Department of Mathematics, Faculty of Sciences, Aswan University | ||||
Abstract | ||||
Image segmentation, often based on the properties of image pixels, is a widely used method in digital image processing and analysis to divide an image into multiple parts or areas. The main goal of image segmentation is to simplify the image for easier analysis. It would be very difficult to implement computer vision without performing image segmentation. An important component of computer vision is image segmentation, which has numerous commercial applications. Google and others Image-based search engines use image segmentation algorithms to identify the objects in your image and match their results to the relevant images they find to present you with search results. | ||||
Keywords | ||||
Image segmentation; Optimization algorithms; Hybrid optimization algorithms | ||||
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