spatial_image_analysis.py 文件源码

def find_smallest_boundingbox(image, label_1, label_2):
    """Return the smallest boundingbox within `image` between cell-labels `label_1` & `label_2`."""
    boundingbox = nd.find_objects(image, max_label=max([label_1, label_2]))
    boundingbox = {label_1:boundingbox[label_1-1], label_2:boundingbox[label_2-1]} # we do 'label_x - 1' since 'nd.find_objects' start at '1' (and not '0') !
    label_1, label_2 = sort_boundingbox(boundingbox, label_1, label_2)
    return bbox[label_1]