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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def threshold_image(image, low_thresh=None, high_thresh=None, inval=1, outval=0, binary=True):
 """ Converts a scalar image into a binary image by thresholding operations ANTsR function: `thresholdImage` Arguments --------- image : ANTsImage Input image to operate on low_thresh : scalar (optional) Lower edge of threshold window hight_thresh : scalar (optional) Higher edge of threshold window inval : scalar Output value for image voxels in between lothresh and hithresh outval : scalar Output value for image voxels lower than lothresh or higher than hithresh binary : boolean if true, returns binary thresholded image if false, return binary thresholded image multiplied by original image Returns ------- ANTsImage Example ------- """

    if high_thresh is None:
        high_thresh = image.max() + 0.01
    if low_thresh is None:
        low_thresh = image.min() - 0.01
    dim = image.dimension
    outimage = image.clone()
    args = [dim, image, outimage, low_thresh, high_thresh, inval, outval]
    processed_args = _int_antsProcessArguments(args)
    libfn = utils.get_lib_fn('ThresholdImage')
    libfn(processed_args)
    if binary:
        return outimage
    else:
        return outimage*image