Morphology based sediment particle image binarization algorithm research

Ying Xiao, Bo Yuan, Dajun Zeng, Bing Wang, Fengying Xie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The diversity and complexity of sediment particle images, has become a constraint major bottleneck problem of establishing the river sediment image segmentation, using sediment particle images with similar particle images in other areas can take advantage of same-sex classes of image processing to propose a morphology-based Otsu binarization algorithm, the use of fast binary algorithm to get the initial search reference, on this basis to define a smaller range as the initial search of morphology-based Otsu binarization algorithm, then image segmentation. Experiments show that the new algorithm to maintain the speed and good noise suppression ability, at the same time this algorithm can better retain the original image characteristics, the algorithm execution speed has been greatly improved. Images have good results after binary.

Original languageEnglish (US)
Title of host publicationProceedings - 2012 International Conference on Computer Science and Electronics Engineering, ICCSEE 2012
Pages375-378
Number of pages4
Volume3
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 International Conference on Computer Science and Electronics Engineering, ICCSEE 2012 - Hangzhou, Zhejiang, China
Duration: Mar 23 2012Mar 25 2012

Other

Other2012 International Conference on Computer Science and Electronics Engineering, ICCSEE 2012
CountryChina
CityHangzhou, Zhejiang
Period3/23/123/25/12

Fingerprint

Sediments
Image segmentation
Image processing
Rivers
Experiments

Keywords

  • binarization algorithm
  • morphological
  • sediment particle images

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Electrical and Electronic Engineering

Cite this

Xiao, Y., Yuan, B., Zeng, D., Wang, B., & Xie, F. (2012). Morphology based sediment particle image binarization algorithm research. In Proceedings - 2012 International Conference on Computer Science and Electronics Engineering, ICCSEE 2012 (Vol. 3, pp. 375-378). [6188309] https://doi.org/10.1109/ICCSEE.2012.49

Morphology based sediment particle image binarization algorithm research. / Xiao, Ying; Yuan, Bo; Zeng, Dajun; Wang, Bing; Xie, Fengying.

Proceedings - 2012 International Conference on Computer Science and Electronics Engineering, ICCSEE 2012. Vol. 3 2012. p. 375-378 6188309.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Xiao, Y, Yuan, B, Zeng, D, Wang, B & Xie, F 2012, Morphology based sediment particle image binarization algorithm research. in Proceedings - 2012 International Conference on Computer Science and Electronics Engineering, ICCSEE 2012. vol. 3, 6188309, pp. 375-378, 2012 International Conference on Computer Science and Electronics Engineering, ICCSEE 2012, Hangzhou, Zhejiang, China, 3/23/12. https://doi.org/10.1109/ICCSEE.2012.49
Xiao Y, Yuan B, Zeng D, Wang B, Xie F. Morphology based sediment particle image binarization algorithm research. In Proceedings - 2012 International Conference on Computer Science and Electronics Engineering, ICCSEE 2012. Vol. 3. 2012. p. 375-378. 6188309 https://doi.org/10.1109/ICCSEE.2012.49
Xiao, Ying ; Yuan, Bo ; Zeng, Dajun ; Wang, Bing ; Xie, Fengying. / Morphology based sediment particle image binarization algorithm research. Proceedings - 2012 International Conference on Computer Science and Electronics Engineering, ICCSEE 2012. Vol. 3 2012. pp. 375-378
@inproceedings{dfae1ded26f747ad8268264f9c86e11a,
title = "Morphology based sediment particle image binarization algorithm research",
abstract = "The diversity and complexity of sediment particle images, has become a constraint major bottleneck problem of establishing the river sediment image segmentation, using sediment particle images with similar particle images in other areas can take advantage of same-sex classes of image processing to propose a morphology-based Otsu binarization algorithm, the use of fast binary algorithm to get the initial search reference, on this basis to define a smaller range as the initial search of morphology-based Otsu binarization algorithm, then image segmentation. Experiments show that the new algorithm to maintain the speed and good noise suppression ability, at the same time this algorithm can better retain the original image characteristics, the algorithm execution speed has been greatly improved. Images have good results after binary.",
keywords = "binarization algorithm, morphological, sediment particle images",
author = "Ying Xiao and Bo Yuan and Dajun Zeng and Bing Wang and Fengying Xie",
year = "2012",
doi = "10.1109/ICCSEE.2012.49",
language = "English (US)",
isbn = "9780769546476",
volume = "3",
pages = "375--378",
booktitle = "Proceedings - 2012 International Conference on Computer Science and Electronics Engineering, ICCSEE 2012",

}

TY - GEN

T1 - Morphology based sediment particle image binarization algorithm research

AU - Xiao, Ying

AU - Yuan, Bo

AU - Zeng, Dajun

AU - Wang, Bing

AU - Xie, Fengying

PY - 2012

Y1 - 2012

N2 - The diversity and complexity of sediment particle images, has become a constraint major bottleneck problem of establishing the river sediment image segmentation, using sediment particle images with similar particle images in other areas can take advantage of same-sex classes of image processing to propose a morphology-based Otsu binarization algorithm, the use of fast binary algorithm to get the initial search reference, on this basis to define a smaller range as the initial search of morphology-based Otsu binarization algorithm, then image segmentation. Experiments show that the new algorithm to maintain the speed and good noise suppression ability, at the same time this algorithm can better retain the original image characteristics, the algorithm execution speed has been greatly improved. Images have good results after binary.

AB - The diversity and complexity of sediment particle images, has become a constraint major bottleneck problem of establishing the river sediment image segmentation, using sediment particle images with similar particle images in other areas can take advantage of same-sex classes of image processing to propose a morphology-based Otsu binarization algorithm, the use of fast binary algorithm to get the initial search reference, on this basis to define a smaller range as the initial search of morphology-based Otsu binarization algorithm, then image segmentation. Experiments show that the new algorithm to maintain the speed and good noise suppression ability, at the same time this algorithm can better retain the original image characteristics, the algorithm execution speed has been greatly improved. Images have good results after binary.

KW - binarization algorithm

KW - morphological

KW - sediment particle images

UR - http://www.scopus.com/inward/record.url?scp=84861051483&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84861051483&partnerID=8YFLogxK

U2 - 10.1109/ICCSEE.2012.49

DO - 10.1109/ICCSEE.2012.49

M3 - Conference contribution

SN - 9780769546476

VL - 3

SP - 375

EP - 378

BT - Proceedings - 2012 International Conference on Computer Science and Electronics Engineering, ICCSEE 2012

ER -