# Image Segmentation Algorithms Overview

**Authors:** Song Yuheng, Yan Hao  
**arXiv:** [1707.02051](https://arxiv.org/abs/1707.02051)  
**Date:** 2017-07-07  
**Summary page:** https://www.summarizepaper.com/en/paper/1707.02051v1/

## 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.
