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gobbo_a
2019-08-16 14:23:05 +02:00
parent 91f2372a2f
commit 9f362fd038
1 changed files with 7 additions and 1 deletions
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8
script/cpython/image_functions.py
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@@ -1,10 +1,17 @@
import numpy
import time
from scipy import signal, ndimage
def img_get_int(fname, thres1, thres2, thres3, thres4, header, width, height, depth, x1,y1,x2,y2, bx1,by1,bx2,by2 , filter_median = False, filter_nsigma = 0):
# read actual image file
img = numpy.fromfile(fname, dtype=numpy.uint32)
img.shape = height, width
if filter_nsigma>0:
img = ndimage.gaussian_filter(img, filter_nsigma)
elif filter_median:
#img = signal.medfilt2d(img.astype('d'), kernel_size=3)
img = ndimage.median_filter(img, size=3)
# signal roi
area_I = ( x2 - x1 + 1) * ( y2 - y1 + 1)
I_sum = img[y1:y2, x1:x2].sum()
@@ -12,7 +19,6 @@ def img_get_int(fname, thres1, thres2, thres3, thres4, header, width, height, d
thresh2_count = len(numpy.where(img>thres2)[0])
thresh3_count = len(numpy.where(img>thres3)[0])
thresh4_count = len(numpy.where(img>thres4)[0])
time.sleep(1.0)
# background roi
I_sum_bgr = img[by1:by2, bx1:bx2].sum()
area_bgr= (bx2 - bx1 + 1) * (by2 - by1 + 1)