Features
Dirkpadfield (Talk | contribs) (→Intrinsic Features for Blobs) |
Dirkpadfield (Talk | contribs) (→Intrinsic Features for Blobs) |
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===''Volume''=== | ===''Volume''=== | ||
| − | Number of voxels in the object (Dirk) | + | Number of voxels in the object. (Dirk) |
===''Centroid (unweighted and weighted)''=== | ===''Centroid (unweighted and weighted)''=== | ||
The unweighted centroid calculates the center of the object. | The unweighted centroid calculates the center of the object. | ||
| − | The weighted centroid uses the image intensity values to calculate the intensity center of the object. | + | The weighted centroid uses the image intensity values to calculate the intensity center of the object. (Dirk) |
===''Integrated Intensity''=== | ===''Integrated Intensity''=== | ||
Sum of the intensities of all voxels in the object (Dirk) | Sum of the intensities of all voxels in the object (Dirk) | ||
| + | ===''Axes Lengths''=== | ||
| + | The length of the axes of the ND hyper-ellipsoid fit to the object.(Dirk) | ||
===''Eccentricity''=== | ===''Eccentricity''=== | ||
| − | Ratio of the distance between the foci to the length of | + | Ratio of the distance between the foci of the best-fit hyper-ellipsoid to the length of its major axis. (2D?) (Dirk) |
===''Elongation''=== | ===''Elongation''=== | ||
| − | + | Ratio of the major axis length to minor axis length of the best-fit hyper-ellipsoid. (2D?) (Dirk) | |
===''Orientation''=== | ===''Orientation''=== | ||
| − | Angle between major axis and origin (2D) (Dirk) | + | Angle between the major axis of the best-fit hyper-ellipsoid and origin. (2D) (Dirk) |
===''Bounding Box Volume''=== | ===''Bounding Box Volume''=== | ||
| − | Number of voxels in bounding box of object (Dirk) | + | Number of voxels in bounding box of object. (Dirk) |
| + | ===''Oriented Bounding Box Volume''=== | ||
| + | Number of voxels in oriented bounding box of object. | ||
| + | The oriented bounding box is defined as the bounding box aligned along the axes of the object. (Dirk) | ||
===''Sum''=== | ===''Sum''=== | ||
Same as integrated intensity (ITK statistics) | Same as integrated intensity (ITK statistics) | ||
Revision as of 15:27, 16 April 2009
FARSIGHT contains a rich and constantly growing library of software routines to compute diverse measurements from images. Measurements are also commonly referred to as "features" in the image analysis community. Broadly speaking, there are two classes of features in FARSIGHT:
1. Intrinsic Features
2. Associative Features
Intrinsic Features for Blobs
These features can be calculated with two input images (Data Image and Label Image). They are most commonly used for blob-like regions, such as nuclei.
Volume
Number of voxels in the object. (Dirk)
Centroid (unweighted and weighted)
The unweighted centroid calculates the center of the object. The weighted centroid uses the image intensity values to calculate the intensity center of the object. (Dirk)
Integrated Intensity
Sum of the intensities of all voxels in the object (Dirk)
Axes Lengths
The length of the axes of the ND hyper-ellipsoid fit to the object.(Dirk)
Eccentricity
Ratio of the distance between the foci of the best-fit hyper-ellipsoid to the length of its major axis. (2D?) (Dirk)
Elongation
Ratio of the major axis length to minor axis length of the best-fit hyper-ellipsoid. (2D?) (Dirk)
Orientation
Angle between the major axis of the best-fit hyper-ellipsoid and origin. (2D) (Dirk)
Bounding Box Volume
Number of voxels in bounding box of object. (Dirk)
Oriented Bounding Box Volume
Number of voxels in oriented bounding box of object. The oriented bounding box is defined as the bounding box aligned along the axes of the object. (Dirk)
Sum
Same as integrated intensity (ITK statistics)
Mean
Average intensity of voxels in the object (ITK statistics)
Median
Middle intensity of voxels in the object (ITK statistics)
Minimum
Minimum intensity of voxels in the object (ITK statistics)
Maximum
Maximum intensity of voxels in the object (ITK statistics)
Sigma
Standard deviation of intensity of voxels in the object (ITK statistics)
Variance
Variance of intensity of voxels in the object (ITK statistics)
Radius Variation
Standard deviation of distance from surface voxels to centroid (Isaac)
Skew
Skew of the normalized intensity histogram (Isaac) (See Supplement B2)
Energy
Energy of the normalized intensity histogram (Isaac) (See Supplement B2)
Entropy
Entropy of the normalized intensity histogram (Isaac) (See Supplement B2)
Surface Gradient
Average of surface gradients (Isaac)
Interior Gradient
Average of interior gradients (Isaac)
Interior Intensity
Average of interior intensities (Isaac)
Surface Intensity
Average of surface intensities (Isaac)
Intensity Ratio
Ratio of surface intensity to interior intensity (Isaac)
Ratio of surface area that touches another object to total surface area (Isaac)
Surface Area
Number of voxels on surface of the object (Isaac)
Shape
Ratio of surface voxels to total voxels - compactness or thinness of object (Isaac) (See Supplement B2)
