spatial_image_analysis.py 文件源码

def boundingbox(self, labels = None, real = False):
        """
        Return the bounding box of a label.

        :Examples:

        >>> import numpy as np
        >>> a = np.array([[1, 2, 7, 7, 1, 1],
                          [1, 6, 5, 7, 3, 3],
                          [2, 2, 1, 7, 3, 3],
                          [1, 1, 1, 4, 1, 1]])

        >>> from vplants.tissue_analysis.spatial_image_analysis import SpatialImageAnalysis
        >>> analysis = SpatialImageAnalysis(a)

        >>> analysis.boundingbox(7)
        (slice(0, 3), slice(2, 4), slice(0, 1))

        >>> analysis.boundingbox([7,2])
        [(slice(0, 3), slice(2, 4), slice(0, 1)), (slice(0, 3), slice(0, 2), slice(0, 1))]

        >>> analysis.boundingbox()
        [(slice(0, 4), slice(0, 6), slice(0, 1)),
        (slice(0, 3), slice(0, 2), slice(0, 1)),
        (slice(1, 3), slice(4, 6), slice(0, 1)),
        (slice(3, 4), slice(3, 4), slice(0, 1)),
        (slice(1, 2), slice(2, 3), slice(0, 1)),
        (slice(1, 2), slice(1, 2), slice(0, 1)),
        (slice(0, 3), slice(2, 4), slice(0, 1))]
        """
        if labels == 0:
            return nd.find_objects(self.image==0)[0]

        if self._bbox is None:
            self._bbox = nd.find_objects(self.image)

        if labels is None:
            labels = copy.copy(self.labels())
            if self.background() is not None:
                labels.append(self.background())

        # bbox of object labelled 1 to n are stored into self._bbox. To access i-th element, we have to use i-1 index
        if isinstance (labels, list):
            bboxes = [self._bbox[i-1] for i in labels]
            if real : return self.convert_return([real_indices(bbox,self._voxelsize) for bbox in bboxes],labels)
            else : return self.convert_return(bboxes,labels)

        else :
            try:
                if real:  return real_indices(self._bbox[labels-1], self._voxelsize)
                else : return self._bbox[labels-1]
            except:
                return None