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.