navigate.model.analysis.boundary_detect.map_labels

navigate.model.analysis.boundary_detect.map_labels(labeled_image, position, z_start, z_step, x_direction, y_direction, current_pixel_size, current_image_width, current_image_height, target_pixel_size, target_image_width, target_image_height, overlap=0.05, filter_pixel_number=10)

Map labels to positions

Parameters:

• labeled_image (ndarray) – Labeled image data

• position (array[int]) – position of x, y, z, theta, f

• z_start (float) – Z start position

• z_step (float) – step of Z

• current_pixel_size (float) – Current camera pixel size

• current_image_width (int) – Current image width

• current_image_height (int) – Current image height

• target_pixel_size (float) – Target camera pixel size

• target_image_width (int) – Target image width

• target_image_height (int) – Target image height

• overlap (float) – Overlap ratio

• filter_pixel_number (int) – The pixel number to filter a label

Returns:

• z_range (int) – The maximum number of z steps

• positions (array) – Array of positions

• target_labels (array) – Array of target label index.