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...

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Vydáno v:Journal of physics. Conference series Ročník 1237; číslo 2; s. 22122 - 22127
Hlavní autoři: Niu, Zuodong, Li, Handong
Médium: Journal Article
Jazyk:angličtina
Vydáno: Bristol IOP Publishing 01.06.2019
Témata:
Algorithms
Digital imaging
Failure analysis
Image processing
Image segmentation
ISSN:1742-6588, 1742-6596
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Shrnutí: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.
Bibliografie:ObjectType-Article-1
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ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1237/2/022122