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November 29, 2016 05:24
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# -*- coding: utf-8 -*- | |
""" | |
Created on Tue Aug 04 15:24:55 2015 | |
@author: ryousuke | |
""" | |
import numpy | |
import cv2 | |
import glob | |
import matplotlib.pyplot as plt | |
import sys | |
argvs = sys.argv | |
argc = len(argvs) | |
if argc != 4: | |
print "****" | |
print ">usage:{0} c:\\img_path layer_num imgname.png".format(argvs[0]) | |
print "****" | |
exit() | |
filepath = "{0}\\*.bmp".format(argvs[1]) | |
files = glob.glob(filepath) | |
#files.sort(key=os.path.getctime) | |
layer = int(argvs[2]) | |
graphprefix = argvs[3] | |
depth = [] | |
imean = [] | |
imini = [] | |
imaxi = [] | |
for file in files: | |
print file | |
img = cv2.imread(file,cv2.CV_LOAD_IMAGE_GRAYSCALE) | |
gau =cv2.GaussianBlur(img, (3,3), 0) | |
imean.append( gau.mean()) | |
imini.append(numpy.amin(gau)) | |
imaxi.append( numpy.amax(gau)) | |
filenamespl=file.split('\\') | |
depth.append( int(filenamespl[-1][2:-4])*5 ) | |
diff = imaxi[layer]*1.0 - imini[layer]*1.0#base柱における明暗の差 これが基準になる。 | |
icont = [] | |
for i in range(len(depth)): | |
icont.append(( imaxi[i]*1.0 - imini[i]*1.0 )/ diff ) | |
################### graph for brightness | |
plt.plot(depth, imaxi,label = 'maximum') | |
plt.plot(depth, imean,label = 'mean') | |
plt.plot(depth, imini,label = 'minimum') | |
plt.legend(loc="lower left") | |
plt.title('Brightness & Depth of emulsion in Z-axis') | |
plt.xlabel('Depth along Z-axis (micron)') | |
plt.ylabel('Brightness') | |
axis = plt.gca() | |
axis.set_ylim(0,280) | |
plt.savefig("{0}_b.png".format(graphprefix)) | |
#plt.show() | |
################### graph for relative contrast | |
plt.cla() | |
plt.plot(depth, icont, label = 'contrast') | |
plt.legend(loc="upper left") | |
axis = plt.gca() | |
axis.set_ylim(0,1.5)#1.5を調節する。 自動で伸縮する | |
plt.savefig("{0}_c.png".format(graphprefix)) | |
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