Image segmentation using Otsu thresholding 1.0

Operating systemsOS : Windows / Linux / Mac OS / BSD / Solaris
Program licensingScript Licensing : BSD - BSD License
CreatedCreated : Jun 12, 2010
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The OTSU method outputs an array IDX containing the ...

The otsu method outputs an array IDX containing the cluster indices (from 1 to N) of each point.
IDX = OTSU(I) uses 2 classes (N=2, default value).
[IDX, sep] = OTSU(I, N) also shows the value (sep) of the separability criteria within the range [0 1]. 0 is obtained only with data having less than N values, whereas one (optimal value) is obtained only with N-valued arrays.
If I is an rgb image, a Karhunen-Loeve transform is performed on the three R, G, B channels.
The segmentation process is then executed on the image component that contains most of the energy.
Demands:
• MATLAB 7. 5 or higher

Image segmentation using Otsu thresholding 1.0 scripting tags: karhunenloeve, segmentation, image, obtained, object selection, image segmentation, processing, otsu, otsu method, rgb. What is new in Image segmentation using Otsu thresholding 1.0 software script? - Unable to find Image segmentation using Otsu thresholding 1.0 news. What is improvements are expecting? Newly-made Image segmentation using Otsu thresholding 1.1 will be downloaded from here. You may download directly. Please write the reviews of the Image segmentation using Otsu thresholding. License limitations are unspecified.