Research and analysis of threshold segmentation algorithms in image processing

Image segmentation is one of the most difficult and important tasks in digital image processing. The accuracy and effect of segmentation determine the final success or failure of the calculation and analysis process. Therefore, analysis and improvement on basic image segmentation algorithms should b...

Full description

Saved in:
Bibliographic Details
Published in:Journal of physics. Conference series 2019-06, Vol.1237 (2), p.22122
Main Authors: Niu, Zuodong, Li, Handong
Format: Article
Language:English
Subjects:
Algorithms
Digital imaging
Failure analysis
Image processing
Image segmentation
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Image segmentation is one of the most difficult and important tasks in digital image processing. The accuracy and effect of segmentation determine the final success or failure of the calculation and analysis process. Therefore, analysis and improvement on basic image segmentation algorithms should be paid attention to in a quite wide range of applications. This paper mainly introduces and studies the principle and characteristics of threshold segmentation algorithm, and analyses the application scenarios of global threshold segmentation and adaptive local threshold segmentation related algorithms, which has certain reference significance for digital image processing related research.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1237/2/022122