def findHvalue(_rawImageFile="E:\workspace\jinyoung\CancerImageAnalyzer\img\BF_position020100_time0001.tif"):
_outputPath = '/ppimg'+datetime.datetime.today().strftime('%y%m%d%H%M')+'/'
rawImgFloat = cia.loadRawImage(_rawImageFile)
filteredImg1st = cia.execGaussianFiltering(rawImgFloat)
for hVal in np.arange(0.1,1.0,0.1):
dilatedImg = cia.execMorphologicalDilation(filteredImg1st,h=hVal)
cia.savePreprocessingImage(dilatedImg,outputPath=_outputPath,h=hVal)
def findThresholdValue(_ppImageFile="E:\workspace\jinyoung\CancerImageAnalyzer\img\ppimg1601101615\BF_position020100_time0001hVal0.4.png"):
_thOutputPath = '/thimg'+datetime.datetime.today().strftime('%y%m%d%H%M')+'/'
ppImageFileName = os.path.basename(_ppImageFile)
ppImageFilePath = os.path.dirname(_ppImageFile)
biImageFilePath = ppImageFilePath + _thOutputPath
ppImg = cia.loadRawImage(_ppImageFile)
for thVal in np.arange(0.1,1.0,0.1):
filledImg = cia.convertBinaryImage(ppImg,threshold=thVal)
if not os.path.exists(biImageFilePath):
os.mkdir(biImageFilePath)
biImageFileName = ppImageFileName[:ppImageFileName.rfind('.')]+'thVal'+str(thVal)+'.png'
imsave(biImageFilePath+biImageFileName, filledImg)
