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# coding: utf-8
# /*##########################################################################
#
# Copyright (c) 2004-2017 European Synchrotron Radiation Facility
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
# ###########################################################################*/
"""
:mod:`silx.gui.plot.actions.histogram` provides actions relative to histograms
for :class:`.PlotWidget`.
The following QAction are available:
- :class:`PixelIntensitiesHistoAction`
"""
from __future__ import division
__authors__ = ["V.A. Sole", "T. Vincent", "P. Knobel"]
__date__ = "27/06/2017"
__license__ = "MIT"
from . import PlotAction
from silx.math.histogram import Histogramnd
import numpy
import logging
from silx.gui import qt
_logger = logging.getLogger(__name__)
class PixelIntensitiesHistoAction(PlotAction):
"""QAction to plot the pixels intensities diagram
:param plot: :class:`.PlotWidget` instance on which to operate
:param parent: See :class:`QAction`
"""
def __init__(self, plot, parent=None):
PlotAction.__init__(self,
plot,
icon='pixel-intensities',
text='pixels intensity',
tooltip='Compute image intensity distribution',
triggered=self._triggered,
parent=parent,
checkable=True)
self._plotHistogram = None
self._connectedToActiveImage = False
self._histo = None
def _triggered(self, checked):
"""Update the plot of the histogram visibility status
:param bool checked: status of the action button
"""
if checked:
if not self._connectedToActiveImage:
self.plot.sigActiveImageChanged.connect(
self._activeImageChanged)
self._connectedToActiveImage = True
self.computeIntensityDistribution()
self.getHistogramPlotWidget().show()
else:
if self._connectedToActiveImage:
self.plot.sigActiveImageChanged.disconnect(
self._activeImageChanged)
self._connectedToActiveImage = False
self.getHistogramPlotWidget().hide()
def _activeImageChanged(self, previous, legend):
"""Handle active image change: toggle enabled toolbar, update curve"""
if self.isChecked():
self.computeIntensityDistribution()
def computeIntensityDistribution(self):
"""Get the active image and compute the image intensity distribution
"""
activeImage = self.plot.getActiveImage()
if activeImage is not None:
image = activeImage.getData(copy=False)
if image.ndim == 3: # RGB(A) images
_logger.info('Converting current image from RGB(A) to grayscale\
in order to compute the intensity distribution')
image = (image[:, :, 0] * 0.299 +
image[:, :, 1] * 0.587 +
image[:, :, 2] * 0.114)
xmin = numpy.nanmin(image)
xmax = numpy.nanmax(image)
nbins = min(1024, int(numpy.sqrt(image.size)))
data_range = xmin, xmax
# bad hack: get 256 bins in the case we have a B&W
if numpy.issubdtype(image.dtype, numpy.integer):
if nbins > xmax - xmin:
nbins = xmax - xmin
nbins = max(2, nbins)
data = image.ravel().astype(numpy.float32)
histogram = Histogramnd(data, n_bins=nbins, histo_range=data_range)
assert len(histogram.edges) == 1
self._histo = histogram.histo
edges = histogram.edges[0]
plot = self.getHistogramPlotWidget()
plot.addHistogram(histogram=self._histo,
edges=edges,
legend='pixel intensity',
fill=True,
color='red')
plot.resetZoom()
def eventFilter(self, qobject, event):
"""Observe when the close event is emitted then
simply uncheck the action button
:param qobject: the object observe
:param event: the event received by qobject
"""
if event.type() == qt.QEvent.Close:
if self._plotHistogram is not None:
self._plotHistogram.hide()
self.setChecked(False)
return PlotAction.eventFilter(self, qobject, event)
def getHistogramPlotWidget(self):
"""Create the plot histogram if needed, otherwise create it
:return: the PlotWidget showing the histogram of the pixel intensities
"""
from silx.gui.plot.PlotWindow import Plot1D
if self._plotHistogram is None:
self._plotHistogram = Plot1D(parent=self.plot)
self._plotHistogram.setWindowFlags(qt.Qt.Window)
self._plotHistogram.setWindowTitle('Image Intensity Histogram')
self._plotHistogram.installEventFilter(self)
self._plotHistogram.getXAxis().setLabel("Value")
self._plotHistogram.getYAxis().setLabel("Count")
return self._plotHistogram
def getHistogram(self):
"""Return the last computed histogram
:return: the histogram displayed in the HistogramPlotWiget
"""
return self._histo
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