#include "itkImage.h"
#include "itkImageSeriesReader.h"
#include "itkImageFileWriter.h"
#include "itkNumericSeriesFileNames.h"
#include "itkPNGImageIO.h"http://轉(zhuǎn)成JPG格式，將PNG替換成JPEG就可以。

int main( int argc, char ** argv )
{
 // 需要四個(gè)參數(shù)，分別是程序起點(diǎn)，第一張圖像的編號(hào)和最后一張圖像的變化，輸出文件的名稱（包含路徑）
 if( argc < 4 )
 {
 std::cerr << "Usage: " << std::endl;
 std::cerr << argv[0] << " firstSliceValue lastSliceValue outputImageFile " << std::endl;
 return EXIT_FAILURE;
 }
//定義讀入圖像類型，創(chuàng)建對(duì)應(yīng)的reader
 typedef unsigned char  PixelType;
 const unsigned int Dimension = 3;

 typedef itk::Image< PixelType, Dimension > ImageType;
 
 typedef itk::ImageSeriesReader< ImageType > ReaderType;
 typedef itk::ImageFileWriter< ImageType > WriterType;

 ReaderType::Pointer reader = ReaderType::New();
 WriterType::Pointer writer = WriterType::New();

//輸入?yún)?shù)定義
 const unsigned int first = atoi( argv[1] );
 const unsigned int last = atoi( argv[2] );
 const char * outputFilename = argv[3];//輸出的文件名加上對(duì)應(yīng)格式的后綴即可，如mha或nii.gz

//系列圖像讀入
 typedef itk::NumericSeriesFileNames NameGeneratorType;
 NameGeneratorType::Pointer nameGenerator = NameGeneratorType::New();
 nameGenerator->SetSeriesFormat( "vwe%03d.png" );

 nameGenerator->SetStartIndex( first );
 nameGenerator->SetEndIndex( last );
 nameGenerator->SetIncrementIndex( 1 );//張數(shù)的增長(zhǎng)間距

//讀入圖像，寫(xiě)出圖像，進(jìn)行Update
 reader->SetImageIO( itk::PNGImageIO::New() );
 reader->SetFileNames( nameGenerator->GetFileNames() );
 writer->SetFileName( outputFilename );
 writer->SetInput( reader->GetOutput() );

 try
 {
 writer->Update();
 }
 catch( itk::ExceptionObject & err )
 {
 std::cerr << "ExceptionObject caught !" << std::endl;
 std::cerr << err << std::endl;
 return EXIT_FAILURE;
 }

 return EXIT_SUCCESS;
}

import SimpleITK as sitk
import glob
import numpy as np
from PIL import Image
import cv2
 
import matplotlib.pyplot as plt # plt 用于顯示圖片
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_nii_volume(allImg, './testImg.nii.gz')
print(np.shape(allImg))
img = allImg[:, :, 55]
# plt.imshow(img, cmap='gray')
# plt.show()