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``Cue-based_Hyst_Threshold''--Hysteresis Thresholding using a biopsy image

VFX name:
iHystThreshSeed
IMPROMPTU Equivalent:
Seeded_Hysteresis_Threshold
purpose:
Similar to Hysteresis_Threshold with the exception that threshold parameters are based on a given biopsy rather than being set manually by user.

Mean $\mu$ and Standard Deviation $\sigma$ are computed from a given biopsy of the input image. The parameters a and b are assigned by the user. This function will find all objects satisfying the threshold criteria shown below:

1.
The object must contain all voxels which satisfy the following relationship.
$\mu - a\sigma < v(x,y,z) < \mu + a\sigma$
2.
All within the object must be connected to above selected voxels and should satisfy the following relationship.
$\mu -(a+b)\sigma < v(x,y,z) < \mu +(a+b)\sigma$.

Note that $T_1 \geq T_2$ and $T_1, T_2 \geq 2$ for this function.

input:

An 8-bit grayscale volume.
A single biopsy image (obtained using Interseg).
output:
An 8-bit binary-valued volume.
parameters:
Default parameters menu is
cue_filename = foobar
a_value = 1.0
b_value = 1.0

comments:
Comments below:

1.
This function is comparable in run time to the 2-D conn-comp and 3-D conn-comp operations.
2.
A variation of Hysteresis_Threshold function.


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MultiDimensional Image Processing Lab, Penn State University