Datasets:
| def __msgc_step3_discontinuity_localization(self): | |
| """pass""" | |
| import scipy | |
| start = self._start_time | |
| seg = 1 - self.segmentation.astype(np.int8) | |
| self.stats['low level object voxels'] = np.sum(seg) | |
| self.stats['low level image voxels'] = np.prod(seg.shape) | |
| seg_border = scipy.ndimage.filters.laplace(seg, mode='constant') | |
| logger.debug('seg_border: %s', scipy.stats.describe(seg_border, axis=None)) | |
| seg_border[seg_border != 0] = 1 | |
| logger.debug('seg_border: %s', scipy.stats.describe(seg_border, axis=None)) | |
| boundary_dilatation_distance = self.segparams['boundary_dilatation_distance'] | |
| seg = scipy.ndimage.morphology.binary_dilation(seg_border, np.ones([boundary_dilatation_distance * 2 + 1, boundary_dilatation_distance * 2 + 1, boundary_dilatation_distance * 2 + 1])) | |
| if self.keep_temp_properties: | |
| self.temp_msgc_lowres_discontinuity = seg | |
| else: | |
| self.temp_msgc_lowres_discontinuity = None | |
| if self.debug_images: | |
| import sed3 | |
| pd = sed3.sed3(seg_border) | |
| pd.show() | |
| pd = sed3.sed3(seg) | |
| pd.show() | |
| self.stats['t3'] = time.time() - start | |
| return seg |