如下所示:
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import pydicom
import matplotlib.pyplot as plt
import scipy.misc
import pandas as pd
import numpy as np
import os
def Dcm2jpg(file_path):
#获取所有图片名称
c = []
names = os.listdir(file_path) #路径
#将文件夹中的文件名称与后边的 .dcm分开
for name in names:
index = name.rfind( '.' )
name = name[:index]
c.append(name)
for files in c :
picture_path = "/home/dell/Desktop/Dcm/" + files + ".dcm"
out_path = "/home/dell/Desktop/Dcm1/" + files + ".jpg"
ds = pydicom.read_file(picture_path)
img = ds.pixel_array # 提取图像信息
scipy.misc.imsave(out_path,img)
print ( 'all is changed' )
Dcm2jpg( '/home/dell/Desktop/Dcm' )
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在此处需要安装pydicom库,直接在终端命令窗口使用pip install pydicom命令安装
将.bmp格式图片转为.jpg图像
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#import scipy.misc
import os
from PIL import Image
def bmp2jpg(file_path,out_path):
#获取所有图片名称
c = []
names = os.listdir(file_path) #路径 #将文件夹中的文件名称与后边的 .bmp分开
for name in names:
index = name.rfind( '.' )
name = name[:index]
c.append(name)
for files in c :
picture_path = "/home/dell/Desktop/unet/d/Mask/" + files + ".bmp"
out_path = "/home/dell/Desktop/unet/d/Mask1/" + files + "_mask.gif"
im = Image. open (picture_path)
im.save(out_path) #scipy.misc.imsave(out_path,im)
print ( 'all is changed' )
bmp2jpg( '/home/dell/Desktop/unet/d/Mask' , '/home/dell/Desktop/unet/d/Mask1' )
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以上这篇利用python实现.dcm格式图像转为.jpg格式就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持服务器之家。
原文链接:https://blog.csdn.net/weixin_40123108/article/details/86649065