Image Segmentation Algorithms Overview
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Abstract (arXiv)
The technology of image segmentation is widely used in medical image processing, face recognition pedestrian detection, etc. The current image segmentation techniques include region-based segmentation, edge detection segmentation, segmentation based on clustering, segmentation based on weakly-supervised learning in CNN, etc. This paper analyzes and summarizes these algorithms of image segmentation, and compares the advantages and disadvantages of different algorithms. Finally, we make a prediction of the development trend of image segmentation with the combination of these algorithms.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Jul 2017.
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Citing papers per year: 2021: 3; 2022: 2; 2023: 1; 2024: 0; 2025: 1.
7 papers.
- 2023A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospectscited by 30
- 2022Self-semantic contour adaptation for cross modality brain tumor segmentationcited by 9
- 2021CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup Segmentationcited by 5
- 2021Comparing Machine Learning based Segmentation Models on Jet Fire Radiation Zonescited by 3
- 2021Transfer Learning U-Net Deep Learning for Lung Ultrasound Segmentationcited by 3
- 2022Experimental Large-Scale Jet Flames' Geometrical Features Extraction for Risk Management Using Infrared Images and Deep Learning Segmentation Methodscited by 1
- 2025Robust Isolation Forest using Soft Sparse Random Projection and Valley Emphasis Methodcited by 0
- 2025Robust Isolation Forest using Soft Sparse Random Projection and Valley Emphasis Method15 Mar 2025
- 2023A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects12 May 2023
- 2022Experimental Large-Scale Jet Flames' Geometrical Features Extraction for Risk Management Using Infrared Images and Deep Learning Segmentation Methods20 Jan 2022
- 2022Self-semantic contour adaptation for cross modality brain tumor segmentation13 Jan 2022
- 2021CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup Segmentation5 Oct 2021
- 2021Transfer Learning U-Net Deep Learning for Lung Ultrasound Segmentation5 Oct 2021
- 2021Comparing Machine Learning based Segmentation Models on Jet Fire Radiation Zones7 Jul 2021