Journal of Atmospheric and Environmental Optics ›› 2012, Vol. ›› Issue (6): 463-468.

• 论文 • Previous Articles     Next Articles

Segmentation Image Using Dynamic Combined Global Threshold Based on OTSU

WU Hai-bin, ZHOU Hou-wei, ZHANG Tie-yi, CHEN Xin-bing, ZHOU Yu-run, WANG Zhe   

  1. (School of Physics and Material Science, Anhui University, Hefei 230039, China)
  • Received:2012-04-16 Revised:2012-05-04 Online:2012-11-28 Published:2012-11-08

Abstract:

In the case of image gray distribution without significant double peaks and the complex background, the dynamic image segmentation method combined with global threshold has good adaptability. The global threshold of near-infrared image s, and the threshold value of the small-block images d are evaluated by the method of OTSU, and the threshold matrix D with the original image by the bilinear interpolation algorithm. Finally, the structure of threshold matrix T and segmentation of image are completed by adjusting the scale coefficient k. This method can effectively split images of the furnace tube in petrochemical refinery.

Key words: OTSU algorithm, image segmentation, threshold matrix, bilinear interpolation

CLC Number: