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interimage:attributes_description [2010/06/29 10:32]
rsilva
interimage:attributes_description [2012/07/12 18:27]
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 bounding box area of the given polygon, in number of pixels.
   * **perimeter** - Returns the perimeter of the polygon, considering the amount of pixels in its border.   * **perimeter** - Returns the perimeter of the polygon, considering the amount of pixels in its border.
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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:

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