imgProcessor.measure package

Subpackages

• imgProcessor.measure.SNR package
  • Submodules
  • imgProcessor.measure.SNR.SNR module
  • imgProcessor.measure.SNR.SNR_IEC module
  • imgProcessor.measure.SNR.SNRaverage module
• imgProcessor.measure.sharpness package
  • Submodules
  • imgProcessor.measure.sharpness.SharpnessfromPoints module
  • imgProcessor.measure.sharpness.parameters module

Submodules

imgProcessor.measure.FitHistogramPeaks module

class imgProcessor.measure.FitHistogramPeaks.FitHistogramPeaks(img, binEveryNPxVals=10, fitFunction=<function gaussian at 0x0000000005FADAC8>, maxNPeaks=4, debug=False)

Bases: object

try to fit the histogram of an image as an addition of 2 GAUSSian distributions stores the position the the peaks in self.fitParams

fitValues(xvals=None)

imgProcessor.measure.FitHistogramPeaks.plotFitResult(fit, show_legend=True, show_plots=True, save_to_file=False, foldername='', filename='', filetype='png')

imgProcessor.measure.FitHistogramPeaks.plotSet(imgDir, posExTime, outDir, show_legend, show_plots, save_to_file, ftype)

creates plots showing both found GAUSSIAN peaks, the histogram, a smoothed histogram from all images within [imgDir]

posExTime - position range of the exposure time in the image name e.g.: img_30s.jpg -> (4,5) outDir - dirname to save the output images show_legend - True/False show_plots - display the result on screen save_to_file - save the result to file ftype - file type of the output images