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solve_phase
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solve_phase
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import sys
import numpy as np
from matplotlib import pyplot as plt
import cv2
freq_1 = 1 / 70
freq_2 = 1 / 64
freq_3 = 1 / 59
waveLength_1 = freq_1
waveLength_2 = freq_2
waveLength_3 = freq_3
waveLength_12 = (waveLength_1 * waveLength_2) / (waveLength_2 - waveLength_1)
waveLength_23 = (waveLength_2 * waveLength_3) / (waveLength_3 - waveLength_2)
def getWrapedPhase(imagePath="./cos_pictures/", Period=70, imgType=".bmp"):
initial_phase = [-2 * np.pi / 3, 0, 2 * np.pi / 3]
imagePathList = []
grayImages = []
for each in range(3):
imagePathList.append(imagePath + "cos_wave" + "_Period_" + str(Period) + "_initial_phase_" + str(
initial_phase[each]) + imgType)
print(imagePathList[each])
img = cv2.imread(imagePathList[each])
img = np.asarray(img, dtype="float32")
# cv2.imshow(str(each),img)
if img.ndim == 3:
grayImages.append(cv2.cvtColor(img, cv2.COLOR_BGR2GRAY))
elif img.ndim == 2:
grayImages.append(img)
# WrapedPhase = np.zeros((img.shape[0], img.shape[1]), dtype="float32")
# for i in range(img.shape[0]):
# for j in range(img.shape[1]):
# WrapedPhase[i][j] =np.arctan2(3 ** 0.5 * (grayImages[0][i][j] - grayImages[2][i][j]), (
# 2 * grayImages[1][i][j] - (grayImages[0][i][j] + grayImages[2][i][j])))
WrapedPhase = np.arctan2((3 ** 0.5) * (grayImages[0] - grayImages[2]),
(2 * grayImages[1] - (grayImages[0] + grayImages[2])))
return WrapedPhase
def showWrapedPhaseMap(WrapedPhase, imshowName="0"):
"""
# show WrapedPhaseMap
:param WrapedPhase:
:return:
"""
WrapedPhaseMap = (WrapedPhase + np.pi) * 255 / (2 * np.pi)
img = np.asarray(WrapedPhaseMap, dtype="uint8")
cv2.imshow("WrapedPhaseMap_" + imshowName, img)
def test(WrapedPhase):
initial_phase = 0
x_axis_cos = np.arange(initial_phase,WrapedPhase.shape[1] , 1)
plt.figure("test")
y_axis = WrapedPhase[700:701, :]
plt.plot(x_axis_cos, y_axis.reshape(WrapedPhase.shape[1]))
# plt.plot(x_axis_cos,np.unwrap(y_axis.reshape(912))) ## plt.plot(x_axis_cos,np.unwrap(2*wraped_phase)/2)
def unWrapPhase_lib(WrapedPhase):
"""
此种方法求解方正的图片没什么问题，但对于倾斜的图像存在很大的问题，而大部分的图片都是倾斜的，
因此此方法在实际应用中并不合适。
:param WrapedPhase:
:param Period:
:return:
"""
unWrapedPhase = np.zeros((WrapedPhase.shape[0], WrapedPhase.shape[1]), dtype="float32")
for each in range(WrapedPhase.shape[0]):
unWrapedPhase[each, :] = np.unwrap(WrapedPhase[each, :])
return unWrapedPhase
def showUnWrapedPhaseMap(unWrapedPhase, Period, imshowName="0"):
"""
# show UnWrapedPhaseMap
:param UnWrapedPhase:
:return:
"""
unWrapedPhaseMap = (unWrapedPhase) * 255 / (Period * 2 * np.pi)
img = np.asarray(unWrapedPhaseMap, dtype="uint8")
cv2.imshow("unWrapedPhaseMap_" + str(Period) + "_" + imshowName, img)
def unWrapPhase_multipleFre(WrapedPhase_1, WrapedPhase_2, waveLength_1, waveLength_2, flag=0):
"""
存在一定的问题，最后一列展开相位后为0，按道理应该为最大值，可用 # test(unWrapedPhase_1)测试
:param WrapedPhase_1:
:param WrapedPhase_2:
:param waveLength_1:
:param waveLength_2:
:param flag:
:return:
"""
if (waveLength_1 > waveLength_2):
print("need waveLength_2>waveLength_1")
sys.exit(-1)
unWrapedPhase = np.zeros((WrapedPhase_1.shape[0], WrapedPhase_1.shape[1]), dtype="float32")
if flag == 0:
for i in range(WrapedPhase_1.shape[0]):
for j in range(WrapedPhase_1.shape[1]):
if WrapedPhase_1[i][j] >= WrapedPhase_2[i][j]:
unWrapedPhase[i][j] = (WrapedPhase_1[i][j] - WrapedPhase_2[i][j]) * waveLength_2 / (
waveLength_2 - waveLength_1)
else:
unWrapedPhase[i][j] = (2 * np.pi + WrapedPhase_1[i][j] - WrapedPhase_2[i][j]) * waveLength_2 / (
waveLength_2 - waveLength_1)
elif flag == 1:
for i in range(WrapedPhase_1.shape[0]):
for j in range(WrapedPhase_1.shape[1]):
if WrapedPhase_1[i][j] >= WrapedPhase_2[i][j]:
unWrapedPhase[i][j] = (WrapedPhase_1[i][j] - WrapedPhase_2[i][j]) * waveLength_1 / (
waveLength_2 - waveLength_1)
else:
unWrapedPhase[i][j] = (2 * np.pi + WrapedPhase_1[i][j] - WrapedPhase_2[i][j]) * waveLength_1 / (
waveLength_2 - waveLength_1)
return unWrapedPhase
if __name__ == "__main__":
# WrapedPhase_5 = getWrapedPhase(imagePath="./cos_pictures/", Period=5)
# showWrapedPhaseMap(WrapedPhase_5, Period=5)
# unWrapedPhase=unWrapPhase_lib(WrapedPhase_5, Period=5)
# showUnWrapedPhaseMap(unWrapedPhase,5)
#
#
# WrapedPhase_6 = getWrapedPhase(imagePath="./cos_pictures/", Period=6)
# showWrapedPhaseMap(WrapedPhase_6, Period=6)
# unWrapedPhase_1 = unWrapPhase_multipleFre(WrapedPhase_6,WrapedPhase_5, 912/6,912/5,1)
# showUnWrapedPhaseMap(unWrapedPhase_1, 5,"12")
# test(unWrapedPhase_1)
WrapedPhase_70 = getWrapedPhase(imagePath="./Htf_7_9_2/", Period=70)
showWrapedPhaseMap(WrapedPhase_70, imshowName="70")
WrapedPhase_64 = getWrapedPhase(imagePath="./Htf_7_9_2/", Period=64)
showWrapedPhaseMap(WrapedPhase_64, imshowName="64")
WrapedPhase_59 = getWrapedPhase(imagePath="./Htf_7_9_2/", Period=59)
showWrapedPhaseMap(WrapedPhase_59, imshowName="59")
unWrapedPhase_1_2 = unWrapPhase_multipleFre(WrapedPhase_70, WrapedPhase_64, waveLength_1, waveLength_2, 0)
unWrapedPhase_1_2_normalization = unWrapedPhase_1_2 * (waveLength_2 - waveLength_1) / waveLength_2
unWrapedPhase_2_3 = unWrapPhase_multipleFre(WrapedPhase_64, WrapedPhase_59, waveLength_2, waveLength_3, 0)
unWrapedPhase_2_3_normalization = unWrapedPhase_2_3 * (waveLength_3 - waveLength_2) / waveLength_3
unWrapedPhase_1_2__2_3 = unWrapPhase_multipleFre(unWrapedPhase_1_2_normalization, unWrapedPhase_2_3_normalization,
waveLength_12, waveLength_23, 0)
showUnWrapedPhaseMap(unWrapedPhase_1_2__2_3, 6, "1_2__2_3")
test(unWrapedPhase_1_2__2_3)
# WrapedPhase_70 = getWrapedPhase(imagePath="./Htf_7_9/", Period=70)
# showWrapedPhaseMap(WrapedPhase_70, Period=70)
# unWrapedPhase_1_2__2_3=unWrapPhase_lib(WrapedPhase_70, Period=70)
# showUnWrapedPhaseMap(unWrapedPhase_1_2__2_3, 70, "1_2__2_3")
# test(unWrapedPhase_1_2__2_3)