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src/SimNDT/core/inspectionMethods.py Normal file
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#!/usr/bin/env python
# encoding: utf-8
"""
inspectionMethods.py
Created by Miguel Molero on 2013-09-26.
Copyright (c) 2013 MMolero. All rights reserved.
"""
from math import sin, cos, sqrt, pi
import numpy as np
import SimNDT.core.inspectionSetup as Inspection
import copy
class Source:
def __init__(self):
self.Longitudinal = True
self.Shear = False
self.Pressure = True
self.Displacement = False
self.hideReceiver = False
class SingleLaunch:
@classmethod
def view(cls, M, N, Pixel_mm, Theta, transducer):
x2 = np.zeros((2,),dtype=np.float32)
y2 = np.zeros((2,),dtype=np.float32)
Ntheta = np.size(Theta,0)
D_T = np.around(M/2.)
if transducer.PointSource:
SizePixel = 0.5
else:
SizePixel = np.around( 0.5 * Pixel_mm * transducer.Size )
Location = transducer.Location
if Location == "Top":
x2 = M/2. + (D_T)*np.sin(Theta)
y2 = N/2. + (D_T)*np.cos(Theta)
X0 = np.around(M/2.)
Y0 = np.around(N/2.)
XL, YL = Inspection.setEmisor(Theta, SizePixel, x2, y2, X0, Y0)
YL += (np.around(transducer.CenterOffset * Pixel_mm ))
XL[:,0] += (np.around(transducer.BorderOffset * Pixel_mm ))
XL[:,1] -= (np.around(transducer.BorderOffset * Pixel_mm ))
XL = np.fliplr(XL)
elif Location == "Left":
x2 = M/2. + (D_T)*np.sin(Theta)
y2 = N/2. + (D_T)*np.cos(Theta)
X0 = np.around(M/2.)
Y0 = np.around(N/2.)
XL, YL = Inspection.setEmisor(Theta, SizePixel, x2, y2, X0, Y0)
XL += (np.around(transducer.CenterOffset * Pixel_mm ))
YL[:,0] += (np.around(transducer.BorderOffset * Pixel_mm ))
YL[:,1] -= (np.around(transducer.BorderOffset * Pixel_mm ))
YL = np.fliplr(YL)
return XL, YL
def setInspection(self, Scenario, Transducer, Simulation):
"""
set Inspection on numerical model
"""
MRI, NRI = Simulation.MRI, Simulation.NRI
TapGrid = Simulation.TapGrid
Rgrid = Simulation.Rgrid
M = np.shape(Scenario.Iabs)[0] *Rgrid
N = np.shape(Scenario.Iabs)[1] *Rgrid
M2 = M/ 2.0
N2 = N/ 2.0
x2 = np.zeros((2,),dtype=np.float32)
y2 = np.zeros((2,),dtype=np.float32)
Ntheta = np.size(self.Theta,0)
X0 = np.around((MRI)/2.0)
Y0 = np.around((NRI)/2.0)
x2[0] = X0 + (M2-TapGrid[0])*np.sin(self.Theta[0])+1
if Transducer.Location == "Top":
if self.Method == "PulseEcho" or self.hideReceiver == True:
x2[1] = x2[0]
else:
x2[1] = X0 + (M2-TapGrid[1])*np.sin(self.Theta[1])-1
y2[:] = (NRI-TapGrid[2]-TapGrid[3])/2.0 + TapGrid[2]
elif Transducer.Location == "Left":
if self.Method == "PulseEcho":
y2[1] = y2[0]
else:
y2[1] = Y0 + (M2-TapGrid[1])*np.sin(self.Theta[1])-1
x2[:] = (NRI-TapGrid[2]-TapGrid[3])/2.0 + TapGrid[2]
if Transducer.PointSource:
Transducer.SizePixel = 0.5
else:
Transducer.SizePixel = np.around( 0.5 * Scenario.Pixel_mm * Transducer.Size * Rgrid )
XL, YL = Inspection.setEmisor(self.Theta, Transducer.SizePixel, x2, y2, X0, Y0)
XL, YL, IR = Inspection.centerOffset(XL, YL, self.Theta, Scenario, Transducer, Rgrid)
XL, YL = Inspection.borderOffset(XL, YL, Scenario, Transducer, Rgrid)
self.XL = XL.copy()
self.YL = YL.copy()
self.IR = IR.copy()
def getReceivers(self, T):
return Inspection.getReceivers(self.XL, self.YL, self.IR, T, False)
class Transmission(SingleLaunch):
def __init__(self,Location="Top"):
self.Name = "Transmission"
self.Method = "Transmission"
self.Location = Location
self.hideReceiver = False
if Location=="Top":
self.Theta = [270.0*pi/180.0, 90.0*pi/180.0]
elif Location == "Left":
self.Theta = [180.0*pi/180.0, 0.0*pi/180.0]
class PulseEcho(SingleLaunch):
def __init__(self,Location="Top"):
self.Name = "PulseEcho"
self.Method = "PulseEcho"
self.Location = Location
self.hideReceiver = False
if Location=="Top":
self.Theta = [270.0*pi/180.0, 270*pi/180.0]
elif Location=="Left":
self.Theta = [180.0*pi/180.0, 0.0*pi/180.0]
class LinearScan(SingleLaunch):
def __init__(self, ini=-10, end=10, step=1,
Location="Top", Method = "Transmission",Theta = [270.0*pi/180.0, 90.0*pi/180.0]):
self.Name = "LinearScan"
self.Location = Location
Num = np.size( np.arange(ini,end,step))
self.ScanVector = np.linspace(ini, end, Num+1, endpoint=True)
self.ScanVectorString = "(%g,%g,%g)"%(ini,end,step)
self.Method = Method
self.Theta = Theta
class Tomography:
def __init__(self,ProjectionStep=45,DiameterRing=50,OneProjection=False):
self.Name = "Tomography"
self.Method = "Transmission"
self.DiameterRing = DiameterRing
self.ProjectionStep = ProjectionStep
self.OneProjection = OneProjection
self.Theta = np.arange(270,-90.0, -self.ProjectionStep)*(pi/180.0)
@staticmethod
def view(M, N, DiameterRing, Pixel_mm, Theta, transducer):
x2 = np.zeros((2,),dtype=np.float32)
y2 = np.zeros((2,),dtype=np.float32)
Ntheta = np.size(Theta,0)
D_T = np.around(DiameterRing*Pixel_mm/2.)
x2 = M/2. + (D_T)*np.sin(Theta)
y2 = N/2. + (D_T)*np.cos(Theta)
X0 = np.around(M/2.)
Y0 = np.around(N/2.)
if transducer.PointSource:
SizePixel = 0.5
else:
SizePixel = np.around( 0.5 * Pixel_mm * transducer.Size )
XL, YL = Inspection.setEmisor(Theta, SizePixel, x2, y2, X0, Y0)
return XL, YL
def setInspection(self, Scenario, Transducer, Simulation):
"""
set Inspection on numerical model
"""
MRI, NRI = Simulation.MRI, Simulation.NRI
TapGrid = Simulation.TapGrid
Rgrid = Simulation.Rgrid
M = np.shape(Scenario.Iabs)[0] *Rgrid
N = np.shape(Scenario.Iabs)[1] *Rgrid
M2 = M/ 2.0
N2 = N/ 2.0
Pixel_mm = Scenario.Pixel_mm
Ntheta = np.size(self.Theta,0)
DR = np.around(self.DiameterRing*Pixel_mm*Rgrid/2.)
X0 = TapGrid[0] + (Scenario.M/2.0)*Rgrid
Y0 = TapGrid[2] + (Scenario.N/2.0)*Rgrid
x2 = X0 + (DR)*np.sin(self.Theta)
y2 = Y0 + (DR)*np.cos(self.Theta)
if Transducer.PointSource:
Transducer.SizePixel = 0.5
else:
Transducer.SizePixel = np.floor( 0.5 * Scenario.Pixel_mm * Transducer.Size * Rgrid )
XL, YL = Inspection.setEmisor(self.Theta, Transducer.SizePixel, x2, y2, X0, Y0)
XL, YL, IR = Inspection.centerOffset(XL, YL, self.Theta, Scenario, Transducer, Rgrid)
self.XL = XL.copy()
self.YL = YL.copy()
self.IR = IR.copy()
def getReceivers(self, T):
return Inspection.getReceivers(self.XL, self.YL, self.IR, T, False)