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Volume 31 Issue 8
Dec.  2010
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Fan Jiu-lun, Lei Bo. Two-Dimensional Linear-Type Mnimum Error Threshold Segmentation Method[J]. Journal of Electronics & Information Technology, 2009, 31(8): 1801-1806. doi: 10.3724/SP.J.1146.2008.01232
Citation: Fan Jiu-lun, Lei Bo. Two-Dimensional Linear-Type Mnimum Error Threshold Segmentation Method[J]. Journal of Electronics & Information Technology, 2009, 31(8): 1801-1806. doi: 10.3724/SP.J.1146.2008.01232

Two-Dimensional Linear-Type Mnimum Error Threshold Segmentation Method

doi: 10.3724/SP.J.1146.2008.01232
  • Received Date: 2008-10-06
  • Rev Recd Date: 2009-03-23
  • Publish Date: 2009-08-19
  • One-dimensional minimum error thresholding method assumes that the histogram distributions of object and background are governed by a mixture Gaussian distribution. Considering the affects of noise and other factors on image quality, based on the assumption of two-dimensional mixture Gaussian distribution, a two-dimensional linear-type minimum error threshold segmentation method is proposed on two-dimensional gray-level histogram. In order to improve the running speed, a fast recursive formula is also given. Experimental results show that the new method is a valuable image segmentation method which can be well adapted to the cases where the variances of the object and the background are distinctly different and contains noises.
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