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ip1.py
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ip1.py
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# -*- coding: utf-8 -*-
# @Time : 2020/3/29 22:34
# @Author : Marco
# @File : ip1.py
# @Project: Reconstruction of 3D Needle-punched C/C Composites
# @Step: slice interpolation
# @Improvement: Improve running speed by reducing the times of calling match() function
import cv2 as cv
import numpy as np
import os
import shutil
def match(x0,y0,img1):
# region1=img1[x0-1:x0+2,y0-1:y0+2]
# region2=img1[x0-2:x0+3,y0-2:y0+3]
# region = img1[x0 - r:x0 + r + 1, y0 - r:y0 + r + 1]
for r in range(0,16): #normal search
for x1 in range(x0-r,x0+r+1):
for y1 in range(y0-r,y0+r+1):
if img1[x1,y1]>=30:
return x1,y1
x1=x0
y1=y0
while(x1<373):
if img1[x1,y1]>=30:
return x1,y1
else:
x1=x1+1
return x0,y0
def interpolation(name0,name1,num): #inputfolder, outputfolder ,suffix
img0 = cv.imread(inputfolder + name0, cv.IMREAD_GRAYSCALE)
img1 = cv.imread(inputfolder + name1, cv.IMREAD_GRAYSCALE)
img0[img0 < 30] = 0 # delete needless pixels
img1[img1 < 30] = 0
(x0array,y0array)=np.where(img0>=30)
zip(x0array,y0array)
# global img
img = []
img.append(img0)
for i in range(1, num): # 左闭右开,最后一层本来就存在,不需要插入
img.append(np.zeros(img0.shape, img0.dtype)) # initialization
for (x0,y0) in zip(x0array,y0array):
x1,y1=match(x0,y0,img1) # look for match points in the other slice
for i in range(1, num): # 左闭右开,最后一层本来就存在,不需要插入
x=(num-i)*x0/num + i*x1/num #linear interpolation
y=(num-i)*y0/num + i*y1/num
x=int(round(x))
y=int(round(y)) #四舍六入五平分
# print(x,y)
img[i][x,y]=255
for i in range(1, num):
# cv.imshow('img'+str(i), img[i])
postpaths.append(outputfolder + name0[0:5] + '_'+str(i) + suffix) # Get the paths of post files
cv.imwrite(postpaths[-1], img[i])
return 0
inputfolder="F:/CR/pics/ip_test/" #the name of the folder that store original files
originalnames=os.listdir(inputfolder) #Get the names of original files. "originalnames" is a list.
originalnames.sort(key=lambda x:int(x[0:5]))
outputfolder='F:/CR/pics/interpolation_output/' #the name of the folder that store post files
if os.path.exists(outputfolder): #Delete existing outputfolder and create a new one
shutil.rmtree(outputfolder)
os.makedirs(outputfolder)
suffix='_ip.jpg' #extension name
postpaths=[]
lenth=len(originalnames)
slices_dist=1 #the distance between two adjacent slices
for i in range(lenth-1):
slices_num=int(originalnames[i+1][0:5])-int(originalnames[i][0:5])
Dist=slices_num*slices_dist #the real distance between two original slices
interpolated_num = slices_num * 1 # the number of the slices to be interpolated,!!! including src1 !!!
interpolation(originalnames[i],originalnames[i + 1],interpolated_num)
k=cv.waitKey(0)
if k==27:
cv.destroyAllWindows()