Image Segmentation Algorithms Overview
July 07, 2017 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Song Yuheng, Yan Hao
arXiv ID
1707.02051
Category
cs.CV: Computer Vision
Citations
151
Venue
arXiv.org
Last Checked
4 months ago
Abstract
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.
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