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• Version 1 • Released on: 2014-09-25 11:45:44
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  Description:

  initial version

  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)

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  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)