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.
Hemeida, A., Yahya, H., & Al-Sanary, H. (2022). Image Segmentation Using Hybrid Optimization Algorithms: Review. Aswan University Journal of Sciences and Technology, 2(2), 86-104. doi: 10.21608/aujst.2023.183546.1012
MLA
Ashraf Mohamed Hemeida; Heba GamalEldeen Yahya; Hamida Al-Sanary. "Image Segmentation Using Hybrid Optimization Algorithms: Review". Aswan University Journal of Sciences and Technology, 2, 2, 2022, 86-104. doi: 10.21608/aujst.2023.183546.1012
HARVARD
Hemeida, A., Yahya, H., Al-Sanary, H. (2022). 'Image Segmentation Using Hybrid Optimization Algorithms: Review', Aswan University Journal of Sciences and Technology, 2(2), pp. 86-104. doi: 10.21608/aujst.2023.183546.1012
VANCOUVER
Hemeida, A., Yahya, H., Al-Sanary, H. Image Segmentation Using Hybrid Optimization Algorithms: Review. Aswan University Journal of Sciences and Technology, 2022; 2(2): 86-104. doi: 10.21608/aujst.2023.183546.1012
)
View on SCiNiTO