Image Segmentation Algorithms Overview

07/07/2017
by   Song Yuheng, et al.
0

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.

READ FULL TEXT
research
07/30/2014

Clustering Approach Towards Image Segmentation: An Analytical Study

Image processing is an important research area in computer vision. Image...
research
11/18/2019

Automatic Image Co-Segmentation: A Survey

Image co-segmentation is important for its advantage of alleviating the ...
research
02/10/2021

A View of Regularized Approaches for Image Segmentation

Image segmentation is a central topic in image processing and computer v...
research
09/20/2018

Recent progress in semantic image segmentation

Semantic image segmentation, which becomes one of the key applications i...
research
10/13/2019

An Image Segmentation Model Based on a Variational Formulation

Starting from a variational formulation, we present a model for image se...
research
07/13/2019

Understanding Deep Learning Techniques for Image Segmentation

The machine learning community has been overwhelmed by a plethora of dee...
research
10/26/2020

Global Image Segmentation Process using Machine Learning algorithm Convolution Neural Network method for Self- Driving Vehicles

In autonomous Vehicles technology Image segmentation was a major problem...

Please sign up or login with your details

Forgot password? Click here to reset