1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222
|
#/*##########################################################################
# Copyright (C) 2004-2013 European Synchrotron Radiation Facility
#
# This file is part of the PyMca X-ray Fluorescence Toolkit developed at
# the ESRF by the Software group.
#
# This toolkit is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the Free
# Software Foundation; either version 2 of the License, or (at your option)
# any later version.
#
# PyMca is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
# details.
#
# You should have received a copy of the GNU General Public License along with
# PyMca; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
#
# PyMca follows the dual licensing model of Riverbank's PyQt and cannot be
# used as a free plugin for a non-free program.
#
# Please contact the ESRF industrial unit (industry@esrf.fr) if this license
# is a problem for you.
#############################################################################*/
__author__ = "T. Rueter - ESRF Data Analysis Unit"
from PyMca import Plugin1DBase
from PyMca.PyMcaSciPy.signal import medfilt1d
from PyMca import PyMcaQt as qt
import numpy
DEBUG = 0
class MedianFilterScanDeglitchPlugin(Plugin1DBase.Plugin1DBase):
def __init__(self, plotWindow, **kw):
Plugin1DBase.Plugin1DBase.__init__(self, plotWindow, **kw)
self.methodDict = {
'Apply to active curve':
[self.removeSpikesActive,
'Apply sliding median filter to active curve',
None],
'Apply to all curves':
[self.removeSpikesAll,
'Apply sliding median filter to all curves',
None],
'Configure median filter':
[self.configureFilter,
'Set threshold and width of the filter',
None]
}
self._methodList = ['Configure median filter',
'Apply to active curve',
'Apply to all curves']
self.threshold = 0.66
self.width = 9
self._widget = None
#Methods to be implemented by the plugin
def getMethods(self, plottype=None):
"""
A list with the NAMES associated to the callable methods
that are applicable to the specified plot.
Plot type can be "SCAN", "MCA", None, ...
"""
return list(self._methodList)
def getMethodToolTip(self, name):
"""
Returns the help associated to the particular method name or None.
"""
return self.methodDict[name][1]
def getMethodPixmap(self, name):
"""
Returns the pixmap associated to the particular method name or None.
"""
return self.methodDict[name][2]
def applyMethod(self, name):
"""
The plugin is asked to apply the method associated to name.
"""
self.methodDict[name][0]()
return
def configureFilter(self):
if self._widget is None:
msg = qt.QDialog()
msg.setWindowTitle("Deglitch Configuration")
msgLayout = qt.QGridLayout()
buttonLayout = qt.QHBoxLayout()
inpThreshold = qt.QDoubleSpinBox()
inpThreshold.setRange(0.,10.)
inpThreshold.setSingleStep(.1)
inpThreshold.setValue(self.threshold)
inpThreshold.setToolTip('Increase width for broad spikes')
inpWidth = qt.QSpinBox()
inpWidth.setRange(1,101)
inpWidth.setSingleStep(2)
inpWidth.setValue(self.width)
inpWidth.setToolTip('Set low threshold for multiple spikes of different markedness')
labelWidth = qt.QLabel('Width (must be odd)')
labelThreshold = qt.QLabel('Threshold (multiple of deviation)')
buttonOK = qt.QPushButton('Ok')
buttonOK.clicked.connect(msg.accept)
buttonCancel = qt.QPushButton('Cancel')
buttonCancel.clicked.connect(msg.reject)
allActiveBG = qt.QButtonGroup()
buttonAll = qt.QCheckBox('Apply to All')
buttonActive = qt.QCheckBox('Apply to Active')
allActiveBG.addButton(buttonAll, 0)
allActiveBG.addButton(buttonActive, 1)
buttonActive.setChecked(True)
buttonLayout.addWidget(qt.HorizontalSpacer())
buttonLayout.addWidget(buttonOK)
buttonLayout.addWidget(buttonCancel)
msgLayout.addWidget(labelWidth,0,0)
msgLayout.addWidget(inpWidth,0,1)
msgLayout.addWidget(labelThreshold,1,0)
msgLayout.addWidget(inpThreshold,1,1)
msgLayout.addWidget(buttonActive,2,0)
msgLayout.addWidget(buttonAll,2,1)
msgLayout.addLayout(buttonLayout,3,0,1,2)
msg.setLayout(msgLayout)
self._widget = msg
self._widget.inputWidth = inpWidth
self._widget.inputThreshold = inpThreshold
self._widget.applyToAll = buttonAll
if self._widget.exec_():
self.threshold = float(self._widget.inputThreshold.value())
self.width = int(self._widget.inputWidth.value())
if not (self.width%2):
self.width += 1
if buttonActive.isChecked():
if DEBUG:
print('ActiveChecked')
self.removeSpikesActive()
if buttonAll.isChecked():
if DEBUG:
print('AllChecked')
self.removeSpikesAll()
def removeSpikesAll(self):
self.medianThresholdFilter(False, self.threshold, self.width)
def removeSpikesActive(self):
self.medianThresholdFilter(True, self.threshold, self.width)
def medianThresholdFilter(self, activeOnly, threshold, length):
if activeOnly:
active = self._plotWindow.getActiveCurve()
if not active:
return
else:
x, y, legend, info = active
self.removeCurve(legend)
spectra = [active]
else:
spectra = self._plotWindow.getAllCurves()
for (idx, spec) in enumerate(spectra):
x, y, legend, info = spec
filtered = medfilt1d(y, length)
diff = filtered-y
mean = diff.mean()
sigma = (x-mean)**2
sigma = numpy.sqrt(sigma.sum()/len(sigma))
ynew = numpy.where(abs(diff) > threshold * sigma, filtered, y)
legend = info.get('selectionlegend','') + ' SR'
if (idx==0) and (len(spectra)!=1):
self.addCurve(x,ynew,legend,info,replace=True, replot=False)
elif idx == (len(spectra)- 1):
self.addCurve(x,ynew,legend,info, replot=True)
else:
self.addCurve(x,ynew,legend,info, replot=False)
MENU_TEXT = "Remove glitches from curves"
def getPlugin1DInstance(plotWindow, **kw):
ob = MedianFilterScanDeglitchPlugin(plotWindow)
return ob
if __name__ == "__main__":
from PyMca import ScanWindow
from PyMca import PyMcaQt as qt
import numpy
app = qt.QApplication([])
sw = ScanWindow.ScanWindow()
x = numpy.arange(1000.)
y0 = 10 * x + 10000. * numpy.exp(-0.5*(x-500)*(x-500)/400) + 1500 * numpy.random.random(1000.)
y1 = 10 * x + 10000. * numpy.exp(-0.5*(x-600)*(x-600)/400) + 1500 * numpy.random.random(1000.)
y2 = 10 * x + 10000. * numpy.exp(-0.5*(x-400)*(x-400)/400) + 1500 * numpy.random.random(1000.)
y3 = 10 * x + 10000. * numpy.exp(-0.5*(x-700)*(x-700)/400) + 1500 * numpy.random.random(1000.)
y0[320:322] = 50000.
y2[400:405] = 12300.
y2[200:205] = 10400.
y1[620:623] = 16300.
y1[800:803] = 50000.
y3[664:666] = 16950.
y3[699:701] = 20000.
y3[730:733] = 20000.
sw.addCurve(x, y0, legend="Curve0")
sw.addCurve(x, y1, legend="Curve1")
sw.addCurve(x, y2, legend="Curve2")
sw.addCurve(x, y3, legend="Curve3")
plugin = getPlugin1DInstance(sw)
plugin.configureFilter()
sw.show()
app.exec_()
|