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)