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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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| The texture attributes are based on the co-occurence gray scale matrix (GLCM) described by the following references: | The texture attributes are based on the co-occurence gray scale matrix (GLCM) described by the following references: | ||
| - | * 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. | + | * 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. | + | * Computer and Robot Vision - Robert M. Haralick - Addison-Wesley Publishing Company. |
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| - | * Angular2ndMomentGLCM (a.k.a. EnergyGLCM) | + | * **Angular2ndMomentGLCM (a.k.a. EnergyGLCM)** - |
| - | * ContrastGLCM - The contrast is a estimate of the local variations. Average of the squares of the differences between pixels. | + | * **ContrastGLCM** - Returns a contrast intensity measure between one image point and its neighborhood. For those images without variations the contrast value will be zero. The calculus is showed on the next formula where "i" and "j" are adjacent image point values under one pre-defined direction. p(i,j) is the probability of that co-ocurrence over the image. |
| + | {{ interimage:att_contrastglcm.gif }} | ||
| - | * DissimilarityGLCM | + | * **DissimilarityGLCM** - |
| - | * EntropyGLCM | + | * **EntropyGLCM** - |
| - | * HomogeneityGLCM | + | * **HomogeneityGLCM** - |
| - | * MeanGLCM | + | * **MeanGLCM** - |
| - | * QuiSquareGLCM | + | * **QuiSquareGLCM** - |
| - | * StdDeviationGLCM | + | * **StdDeviationGLCM** - |
