调用函数代码如下--->
import scipy.io as scio
import os
import ctypes
import datetime
import numpy as np
读取dll文件
这里的地址目录是HessianFilter.dll所在的文件夹
start = datetime.datetime.now()
cur_path = os.path.dirname(r'C:\Users\Administrator\Desktop\code_and_data\code\HessianFilter\')
dll_path = os.path.join(cur_path,'HessianFilter.dll')
print dll_path
dll = ctypes.windll.LoadLibrary(dll_path)
读取mat文件,Mat文件所在的文件夹中读取
matPath = r'C:\Users\Administrator\Desktop\code_and_data\data\Nodule19664.mat'
imgData = scio.loadmat(matPath)
从mat文件中我们取到了整个三维数组
imgDataArray = imgData['imagetest1']
得到数组文件的参数：宽，高，层数
widthSrc,heightSrc,sliceNumSrc = imgDataArray.shape
声明一个三维的c_float类型的数组，用于存放mat数据,并将数据转化为c_float
imgDataArray_p = (((ctypes.c_floatsliceNumSrc)heightSrc)*widthSrc)()
for i in range(widthSrc):
for j in range(heightSrc):
for k in range(sliceNumSrc):
imgDataArray_p[i][j][k] = ctypes.c_float(imgDataArray[i][j][k])
imgDataP = ctypes.POINTER(ctypes.c_float)(imgDataArray_p)
print '---------->'
需要再声明两个返回值
HessianDot = (ctypes.c_float(widthSrcheightSrcsliceNumSrc))()
HessianLine = (ctypes.c_float(widthSrcheightSrcsliceNumSrc))()
HessianDot_p = ctypes.POINTER(ctypes.c_float)(HessianDot)
HessianLine_p = ctypes.POINTER(ctypes.c_float)(HessianLine)
定义一个常数
sigma = ctypes.c_float(8)
定义一个三维数组
imgSize = [widthSrc,heightSrc,sliceNumSrc]
imageSize = (ctypes.c_floatlen(imgSize))(imgSize)
定义一个指向三维数组的指针
imageSizeP = ctypes.POINTER(ctypes.c_float)(imageSize)
这个就是调用dll中的函数了
dll.RunHessianMultiThread(ctypes.byref(imgDataArray_p),sigma,ctypes.byref(imageSizeP),ctypes.byref(HessianDot_p),ctypes.byref(HessianLine_p),4)
print '--调用后-点数据--'
print HessianDot_p
print HessianDot_p[0:24]
print HessianDot_p.contents
print '--调用后-线数据--'
print HessianLine_p
print HessianLine_p[0:24]
print HessianLine_p.contents
print '<---------Over------------->\n\n'
print datetime.datetime.now()-start
