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Python ImageStack.setProcessor方法代码示例

本文整理汇总了Python中ij.ImageStack.setProcessor方法的典型用法代码示例。如果您正苦于以下问题:Python ImageStack.setProcessor方法的具体用法?Python ImageStack.setProcessor怎么用?Python ImageStack.setProcessor使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在ij.ImageStack的用法示例。


在下文中一共展示了ImageStack.setProcessor方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: RoiManager

# 需要导入模块: from ij import ImageStack [as 别名]
# 或者: from ij.ImageStack import setProcessor [as 别名]
    refpath = os.path.join(refdir, reffn)

refImp = IJ.openImage(refpath)
width = refImp.width  
height = refImp.height  

roim = RoiManager()
roim.runCommand("open", roipath)

roiArray = roim.getRoisAsArray()
nRoi = len(roiArray)
roim.close()

bwStack = ImageStack(width, height, nRoi)
for i in xrange(1, nRoi+1):
    bwStack.setProcessor(FloatProcessor(width, height, zeros('f', width * height), None), i)

for i in xrange(1, nRoi+1):
    roi = roiArray[i-1]
    fp = bwStack.getProcessor(i)
    fp.setValue(1.0)
    fp.fill(roi)

roiImp = ImagePlus("roi", bwStack)

outfn = "roi_" + os.path.splitext(roifn)[0] + ".tif"
outpath = os.path.join(roidir, outfn)
if os.path.exists(outpath):
    print "Skipped, already exists: ", outfn
else:
    IJ.saveAsTiff(roiImp, outpath)
开发者ID:singingstars,项目名称:lab-program,代码行数:33,代码来源:roi.to.mask_.py

示例2: regBf

# 需要导入模块: from ij import ImageStack [as 别名]
# 或者: from ij.ImageStack import setProcessor [as 别名]

#.........这里部分代码省略.........
    refImp = ImagePlus("ref", stack.getProcessor(imp.getStackIndex(refC, refZ, refT)))
    refWin.setImage(refImp)

    tr = TurboReg_()

    for t in xrange(1, nFrames+1):
        IJ.showProgress(t-1, nFrames)

        # print "t ", t
        # do TurboReg on reference channel
        toRegId = imp.getStackIndex(refC, refZ, t)
        toRegImp = ImagePlus("toReg", stack.getProcessor(toRegId))
        toRegWin.setImage(toRegImp)

        regArg =  "-align " +\
                  "-window " + toRegImp.getTitle() + " " +\
                  "0 0 " + str(width - 1) + " " + str(height - 1) + " " +\
                  "-window " + refImp.getTitle() + " " +\
                  "0 0 " + str(width - 1) + " " + str(height - 1) + " " +\
                  "-rigidBody " +\
                  str(width / 2) + " " + str(height / 2) + " " +\
                  str(width / 2) + " " + str(height / 2) + " " +\
                  "0 " + str(height / 2) + " " +\
                  "0 " + str(height / 2) + " " +\
                  str(width - 1) + " " + str(height / 2) + " " +\
                  str(width - 1) + " " + str(height / 2) + " " +\
                  "-hideOutput"
                
        tr = TurboReg_()
        tr.run(regArg)
        registeredImp = tr.getTransformedImage()
        sourcePoints = tr.getSourcePoints()
        targetPoints = tr.getTargetPoints()

        registeredStack.setProcessor(registeredImp.getProcessor(), toRegId)

        # toRegImp.flush()

        # apply transformation on other channels
        for c in xrange(1, nChannels+1):
            # print "c ", c
            if c == refC:
                continue

            toTransformId = imp.getStackIndex(c, 1, t)
            toTransformImp = ImagePlus("toTransform", stack.getProcessor(toTransformId))
            toTransformWin.setImage(toTransformImp)

            transformArg = "-transform " +\
                           "-window " + toTransformImp.getTitle() + " " +\
                           str(width) + " " + str(height) + " " +\
                           "-rigidBody " +\
                           str(sourcePoints[0][0]) + " " +\
                           str(sourcePoints[0][1]) + " " +\
                           str(targetPoints[0][0]) + " " +\
                           str(targetPoints[0][1]) + " " +\
                           str(sourcePoints[1][0]) + " " +\
                           str(sourcePoints[1][1]) + " " +\
                           str(targetPoints[1][0]) + " " +\
                           str(targetPoints[1][1]) + " " +\
                           str(sourcePoints[2][0]) + " " +\
                           str(sourcePoints[2][1]) + " " +\
                           str(targetPoints[2][0]) + " " +\
                           str(targetPoints[2][1]) + " " +\
                           "-hideOutput"

            tr = TurboReg_()
            tr.run(transformArg)
            registeredStack.setProcessor(tr.getTransformedImage().getProcessor(), toTransformId)

            # toTransformImp.flush()
            sourcePoints = None
            targetPoints = None

        IJ.showProgress(t, nFrames)
        IJ.showStatus("Frames registered: " + str(t) + "/" + str(nFrames))

    refWin.close()
    toRegWin.close()
    toTransformWin.close()

    imp2 = ImagePlus("reg_"+imp.getTitle(), registeredStack)
    imp2.setCalibration(imp.getCalibration().copy())
    imp2.setDimensions(nChannels, nSlices, nFrames)
    # print "type ", imp.getType()
    # print "type ", imp2.getType()
    # print nChannels, " ", nSlices, " ", nFrames
    # print registeredStack.getSize()

    for key in imp.getProperties().stringPropertyNames():
        imp2.setProperty(key, imp.getProperty(key))
    # comp = CompositeImage(imp2, CompositeImage.COLOR)  
    # comp.show()
    # imp2 = imp.clone()
    # imp2.setStack(registeredStack)
    # imp2.setTitle("reg"+imp.getTitle())
    # imp2.show()
    # imp.show()

    return imp2
开发者ID:singingstars,项目名称:lab-program,代码行数:104,代码来源:split.reg.nd2_.py


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