http://iet.metastore.ingenta.com
1887

Modified two-dimensional Otsu image segmentation algorithm and fast realisation

Modified two-dimensional Otsu image segmentation algorithm and fast realisation

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Image Processing — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Traditional two-dimensional (2D) Otsu method supposes that the sum of probabilities of diagonal quadrants in 2D histogram is approximately one. This studies experiments and theory prove that the sum of probabilities of off-diagonal quadrants in 2D histogram is not always very small and this could not be neglected. Therefore the assumption mentioned above in 2D Otsu method is inadequately reasonable. In this study, an improved 2D Otsu segmentation method and recursive algorithm are proposed. By calculating probabilities of diagonal quadrants in 2D histogram separately, modified method is acquired. Experimental results show that proposed method can obtain better performance of segmentation than the traditional 2D Otsu method. The computation complexity of improved 2D Otsu method is equal to traditional 2D Otsu method.

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
      • T. Pun . Entropic thresholding: a new approach, CVGIP: graphical models. Image Process. , 210 - 239
    5. 5)
    6. 6)
    7. 7)
    8. 8)
      • Zhang, J., Hu, J.L.: `Image segmentation based on 2D Otsu method with histogram analysis', IEEE Int. Conf. on Computer Science and Software Engineering. Wuhan, 2008, China, p. 105–108.
    9. 9)
    10. 10)
      • Sun, F.J., Wang, H., Fan, J.Q.: `2D Otsu segmentation algorithm based on simulated annealing genetic algorithm for iced-cable images', IEEE Int. Forum on Information Technology and Applications, 2009, p. 600–602.
    11. 11)
      • J.L. Fan , F. Zhao . Two-dimensional Otsu's curve thresholding segmentation method for gray-level images. Acta Electron. Sin. (in Chinese) , 4 , 751 - 755
    12. 12)
      • Y.M. Hao , F. Zhu . Fast algorithm for two-dimensional Otsu adaptive threshold algorithm. J. Image Graph. (in Chinese) , 4 , 484 - 488
    13. 13)
      • Y.Q. Wu , Z. Pan , W.Y. Wu . Image thresholding based on two-dimensional histogram oblique segmentation and its fast recurring algorithm. J. Commun. (in Chinese) , 4 , 77 - 84
    14. 14)
    15. 15)
    16. 16)
      • Z. Hui-qin . A new algorithm for water area extracting from the remote sensing image based on morphologic method. Sci. Surv. Mapp. (in Chinese) , 1 , 22 - 25
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-ipr.2010.0078
Loading

Related content

content/journals/10.1049/iet-ipr.2010.0078
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address