主要之前使用matlab 對numpy數組存放方式不是很瞭解.應該是[z,x,y]這樣在itksnamp上看就對了 import SimpleITK as sitk import glob import numpy as np from PIL import Image import cv2 import matplotlib.pyplot as plt # plt 用於顯示圖片 def save_array_as_nii_volume(data, filename, reference_name = None): """ save a numpy array as nifty image inputs: data: a numpy array with shape [Depth, Height, Width] filename: the ouput file name reference_name: file name of the reference image of which affine and header are used outputs: None """ img = sitk.GetImageFromArray(data) if(reference_name is not None): img_ref = sitk.ReadImage(reference_name) img.CopyInformation(img_ref) sitk.WriteImage(img, filename) image_path = './oriCvLab/testCvlab/img/' image_arr = glob.glob(str(image_path) + str("/*")) image_arr.sort() print(image_arr, len(image_arr)) allImg = [] allImg = np.zeros([165, 768,1024], dtype='uint8') for i in range(len(image_arr)): single_image_name = image_arr[i] img_as_img = Image.open(single_image_name) # img_as_img.show() img_as_np = np.asarray(img_as_img) allImg[i, :, :] = img_as_np # np.transpose(allImg,[2,0,1]) save_array_as_nifty_volume(allImg, './testImg.nii.gz') print(np.shape(allImg)) img = allImg[:, :, 55] # plt.imshow(img, cmap='gray') # plt.show()
將一組png圖片轉爲nii.gz
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