文件名称:otsu

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  • matlab例程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2012-11-26
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  • 2kb
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  • 提 供 者:
  • ltrk****
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OTSU Gray-level image segmentation using Otsu s method.

Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes

by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection

Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern.

9:62-66 1979). Thresholds are computed to maximize a separability

criterion of the resultant classes in gray levels.



OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the

corresponding Iseg is therefore a binary image. The pixel values for

Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ...



[Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability

criterion within the range [0 1]. Zero is obtained only with images

having less than n gray level, whereas one (optimal value) is obtained

only with n-valued images.- OTSU Gray-level image segmentation using Otsu s method.

  Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes

  by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection

  Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern.

  9:62-66 1979). Thresholds are computed to maximize a separability

  criterion of the resultant classes in gray levels.



  OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the

  corresponding Iseg is therefore a binary image. The pixel values for

  Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ...



  [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability

  criterion within the range [0 1]. Zero is obtained only with images

  having less than n gray level, whereas one (optimal value) is obtained

  only with n-valued images.
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otsu.m

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