importClass(Packages.icy.image.lut.LUT)
importClass(Packages.icy.gui.dialog.MessageDialog)
importClass(Packages.icy.file.Loader)
importClass(Packages.plugins.tprovoost.scripteditor.uitools.filedialogs.FileDialog)
importClass(Packages.java.awt.image.BufferedImage)
importClass(Packages.icy.sequence.SequenceUtil)
importClass(Packages.icy.util.XLSUtil)
importClass(Packages.icy.roi.ROIUtil)
sequence = getSequence()
if (sequence == null) {
file = FileDialog.open()
if (file == null) {
MessageDialog.showDialog("Cannot go further without an image to process")
throw "User cancelled"
}
sequence = Loader.loadSequence(file)
}
fileName = sequence.getFilename()
dot = fileName.lastIndexOf(".")
fileName = fileName.substring(0, dot) + "_MeanGrayLevel.xls"
xls = XLSUtil.createWorkbook(fileName)
sheet = XLSUtil.createNewPage(xls, "Mean gray level")
XLSUtil.setCellString(sheet, 0, 1, "Surface (px)")
XLSUtil.setCellString(sheet, 0, 2, "Mean gray level")
// Retrieve the ROI from the sequence
rois = sequence.getROI2Ds(true)
// Convert the sequence to gray scale
// BufferedImage.TYPE_BYTE_GRAY = 10
sequence = SequenceUtil.convertColor(sequence, 10, null)
// Calculate the (inverted) mean intensity per ROI
for (i = 0; i < rois.size(); i++) {
roi = rois.get(i)
info = ROIUtil.getIntensityInfo(sequence, roi)
mod = 1 - (info.meanIntensity / 255)
XLSUtil.setCellString(sheet, i + 1, 0, roi.getName())
XLSUtil.setCellNumber(sheet, i + 1, 1, roi.getNumberOfPoints())
XLSUtil.setCellNumber(sheet, i + 1, 2, mod)
}
xls.write()
xls.close()
MessageDialog.showDialog("Data has been saved to " + fileName)
