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| * **Variance** - Like the standart deviation, the variance also represents the numerical data dispersion degree surrounding the mean but in the original data values scale. It is defined by: | * **Variance** - Like the standart deviation, the variance also represents the numerical data dispersion degree surrounding the mean but in the original data values scale. It is defined by: | ||
| {{ interimage:att_variance.gif }} | {{ interimage:att_variance.gif }} | ||
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| ===== Spectral Texture Attributes ===== | ===== Spectral Texture Attributes ===== | ||
| + | The texture attributes are based on the co-occurence gray scale matrix (GLCM) described by the following references: | ||
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| + | * Textural Features for Image Classification - Robert M. Haralick, K. Shanmugam, Its'hak Dinstein. Systems, Man and Cybernetics, IEEE Transactions on In Systems, Man and Cybernetics, IEEE Transactions on, Vol. 3, No. 6. (1973), pp. 610-621. | ||
| + | * Computer and Robot Vision - Robert M. Haralick - Addison-Wesley Publishing Company. | ||
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| + | * Angular2ndMomentGLCM (a.k.a. EnergyGLCM) | ||
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| + | * ContrastGLCM - The contrast is a estimate of the local variations. Average of the squares of the differences between pixels. | ||
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| + | * DissimilarityGLCM | ||
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| + | * EntropyGLCM | ||
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| + | * HomogeneityGLCM | ||
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| + | * MeanGLCM | ||
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| + | * QuiSquareGLCM | ||
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| + | * StdDeviationGLCM | ||
