Computes the area of a region divided by the area of a circular region having the same feature.
|inCircularityMeasure||CircularityMeasure||Which algorithm should be used to compute a circle|
|diagCircle||Circle2D||Computed circle which area was compared.|
Circularity is a measure of similarity of a region shape to the perfect circle. Circular regions have circularity close to 1.0, while the more elongated the region is (or contains more holes), the closer to 0.0 is its circularity.
Mathematically, the circularity is calculated as follows: Where c denotes a circular region having the same feature as input region r. The feature being considered depends on the inCircularityMeasure chosen and it is:
- the minimal bounding circle in case of BoundingCirclePreserving
- the perimeter in case of PerimeterPreserving
- the radius (maximal distance from mass center to any of the region pixels) in case of RadiusPreserving
- If the input region is not guaranteed to be non-empty, precede this filter with SkipEmptyRegion.
This filter can throw an exception to report error. Read how to deal with errors in Error Handling.
List of possible exceptions:
|DomainError||Empty region on input in RegionCircularity.|
|DomainError||Not supported circularity measure in RegionCircularity.|
This filter is available on Basic Complexity Level.
- RegionConvexity – Computes the area of a region divided by area of its convex hull.
- RegionElongation – Computes the elongation factor of a region ( perfect circle has minimal elongation equal 1.0 ).
- ShapeCircularity – Computes the area of a shape divided by the area of a circle having the same feature.