-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathmarching_cubes.py
46 lines (42 loc) · 1.68 KB
/
marching_cubes.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 27 09:49:03 2020
@author: isabe
"""
# This file is part of DeepSpinePreprocessing
# Copyright (C) 2021 VG-Lab (Visualization & Graphics Lab), Universidad Rey Juan Carlos
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
import numpy as np
import os
import tifffile as tiff
from skimage import measure
import pymesh
from gmrv_utils.image import load_tiff_from_folder, getAABBImg, idxAABB
tiffPath = './outputData/'
spacing = np.array([0.279911, 0.0751562, 0.0751562])
for file in os.scandir(tiffPath):
sectionName = file.name
tifImage = tiff.imread(file)
mn, mx = getAABBImg(tifImage)
slices_ = idxAABB(mn, mx)
imgSizeY = tifImage.shape[1]
image = np.transpose(tifImage, (2, 1, 0))
image = np.flip(image, 1)
verts, faces, normals, _ = measure.marching_cubes_lewiner(image, level=0.5, spacing=spacing)
bbOrigTransp = np.array([mn[2], imgSizeY - mx[1], mn[0]])
offset = bbOrigTransp * spacing
for i in range(len(verts)):
verts[i] = verts[i] + offset
pymesh.save_mesh(tiffPath + sectionName + '.obj', verts, faces)