Visualization of Results¶
Region of Interest Viewer¶
Main Viewer
This will bring up the default Region Of Interest viewer, once the test_fs.roi_results
have been calculated.
test_fs.roi_viewer()
Note
Median Blur Height will be only be enabled for a median_blur_algorithm=’selective’
Centroid Analysis Viewer¶
Main Viewer
This will bring up the default Region Of Interest viewer, once the test_fs.centroid_results
have been calculated.
test_fs.centroid_viewer()
Note
Median Blur Height will be only be enabled for a median_blur_algorithm=’selective’
Return Raw Centroid Map Values¶
Takes the test_fs.results and a User defined map_type and returns either the centroid data or the ROI data for the
test_fs.resutls
variable.
results
(nd.array) - the test_fs.results value
map_type
- acceptable values - full_roi, chi_centroid, ttheta_centroid
Make New Bound For Centroid Maps¶
The centroid maps are in values associated with their centroid position of the .tif image dimensions (usually 516, 516). To change what the bound/values are for the centroid values the user can set values for user_map and new_bounds to rebound the centroid maps.
user_map
- the output of the centroid_roi_map() function
new_bounds
- np.linspace(lowerbound, higherbound, dim of image)