本文整理汇总了Python中ij.WindowManager.getAllNonImageWindows方法的典型用法代码示例。如果您正苦于以下问题：Python WindowManager.getAllNonImageWindows方法的具体用法？Python WindowManager.getAllNonImageWindows怎么用？Python WindowManager.getAllNonImageWindows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类ij.WindowManager的用法示例。
在下文中一共展示了WindowManager.getAllNonImageWindows方法的1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: range
# 需要导入模块: from ij import WindowManager [as 别名]
# 或者: from ij.WindowManager import getAllNonImageWindows [as 别名]
testTile = WindowManager.getImage(windowName)
numTotalChannels = testTile.getNChannels()
labels = ["" for x in range(numTotalChannels)]
defaultValues = [False for x in range(numTotalChannels)]
for i in range(1,numTotalChannels+1):
labels[i-1] = "Channel" + str(i)
defaultValues[i-1] = False
## Allows user to choose which channels to analyze
gd = NonBlockingGenericDialog("Select channel...")
gd.addCheckboxGroup(numTotalChannels,1,labels,defaultValues)
gd.showDialog()
runOnChannel = [False for x in range(numTotalChannels)]
for i in range(numTotalChannels):
runOnChannel[i] = gd.getNextBoolean()
## Runs the 3D object counter on all the tiles and saves the results to disk
IJ.run("3D OC Options", "volume surface nb_of_obj._voxels nb_of_surf._voxels integrated_density mean_gray_value std_dev_gray_value median_gray_value minimum_gray_value maximum_gray_value centroid mean_distance_to_surface std_dev_distance_to_surface median_distance_to_surface centre_of_mass bounding_box dots_size=5 font_size=10 show_numbers white_numbers store_results_within_a_table_named_after_the_image_(macro_friendly) redirect_to=none");
channelImage = ChannelSplitter.split(testTile)
testTile.close()
for i in range(numTotalChannels):
if (runOnChannel[i]):
channelImage[i].show()
IJ.run(channelImage[i], "3D Objects Counter", "threshold=42 slice=47 min.=300 max.=24903680 statistics")
IJ.saveAs("Results", "/Volumes/DUNCAN/2015/03_12_15 ERT2 Confetti DSS earlier trace/A5/9396-abluminal.lsm_tiles/objects/C" + str(i+1) + "-tile_45.csv")
channelImage[i].close()
resultsWindows = WindowManager.getAllNonImageWindows()
for i in range(len(resultsWindows)):
resultsWindows[i].dispose()