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interimage:attributes_description [2010/06/29 10:32] rsilva |
interimage:attributes_description [2012/07/17 20:47] (current) rsilva |
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| * **yGeoCenter** - y geo-coordinate of the object centroid. | * **yGeoCenter** - y geo-coordinate of the object centroid. | ||
| * **membership** or **p** - confidence in the object with regard to its classification. | * **membership** or **p** - confidence in the object with regard to its classification. | ||
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| ===== Shape Attributes ===== | ===== Shape Attributes ===== | ||
| - | * **area** - Returns the area of the given polygon, in number of pixels. | + | * **area** - Returns the real area of the given polygon. |
| - | * **bBoxArea** - Returns the bounding box area of the given polygon, in number of pixels. | + | * **bBoxArea** - Returns the real bounding box area of the given polygon. |
| - | * **perimeter** - Returns the perimeter of the polygon, considering the amount of pixels in its border. | + | * **perimeter** - Returns the real perimeter of the given polygon. |
| * **fractalDimension** - Returns the fractal dimension of a given polygon, which is calculated by the following equation: | * **fractalDimension** - Returns the fractal dimension of a given polygon, which is calculated by the following equation: | ||
| {{ :interimage:fractal.png }} | {{ :interimage:fractal.png }} | ||
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| {{ :interimage:shapeindex.png }} | {{ :interimage:shapeindex.png }} | ||
| Where P is the polygon perimeter and A is the area. | Where P is the polygon perimeter and A is the area. | ||
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| ===== Spectral Statistical Attributes ===== | ===== Spectral Statistical Attributes ===== | ||
| - | * **Amplitude** - represents the difference between the maximum and minimum pixel values of an object **O** for the given image layer **L**. | + | * **Amplitude** - represents the difference between the maximum and minimum pixel values of an object for the given image layer **L**. |
| - | * **Brightness** - | + | * **Brightness** - represents the brightness of an image object. |
| * **Correlation** - Correlation is a similarity measure between two data sets under an absolute scale between [-1,1]. It is calculated as shown by the next formula: | * **Correlation** - Correlation is a similarity measure between two data sets under an absolute scale between [-1,1]. It is calculated as shown by the next formula: | ||
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| - | * **Ratio** - | + | * **Ratio** - represents the amount that layer **L** contributes to the total brightness of an image object. |
| * **StdDeviation** - The standard deviation represents the numerical data dispersion degree surrounding the mean. It is defined by: | * **StdDeviation** - The standard deviation represents the numerical data dispersion degree surrounding the mean. It is defined by: | ||
