def LABVisualization(bins, slices, project=True,color=False,fullOpacity=True, data = "8bit"):
startTime = time.time()
colorMax = 255
if data == "8bitsegmented":
histogram = DataParse.loadStack(300, 200, 3000, mode="8bit", segmented=True)
elif data == "8bit":
histogram = DataParse.loadStack(300, 200, 3000, mode="8bit", segmented=False)
elif data == "12bit":
histogram = DataParse.loadStack(300, 200, 3000, mode="12bit", segmented=False)
colorMax = 4095
ColorPlots.histogramToLAB(histogram, colorMax, slices, project=project, color=color, fullOpacity=True)
endTime = time.time()
print "Total Time: %g Seconds" % (endTime-startTime)
def saveABPlot(slices, bins, floor, ceiling):
startTime = time.time()
histogram = DataParse.loadStack(slices, bins, floor, ceiling, bits=12, segmented=False, colorSpace="LAB")
filename = "AB Plot" + str(bins) + "Bins" + "Floor" + str(floor) + "Ceiling" + str(ceiling) + ".png"
ColorPlots.ABPlot(histogram, bins, filename)
endTime = time.time()
print "Total Time: %g Seconds" % (endTime-startTime)
print "For %g Bins" % bins
def howManyClusters():
histogram = DataParse.loadStack()
Cluster.howManyClusters(histogram, 2, 45, 5)
def sliceDraw():
histogram = DataParse.loadStack()
data, centroidList, distance = Cluster.kMeans(histogram, main.CLUSTERS)
Draw.drawSlice(data, centroidList)
def dirichelet():
histogram = DataParse.loadStack()
MG, obs = Cluster.expectationMaximization(histogram, main.CLUSTERS, mode="Dirichelet")
Draw.EMDraw(obs, MG, histogram)
def EM():
histogram = DataParse.loadStack()
MG, obs = Cluster.expectationMaximization(histogram, main.CLUSTERS)
Draw.EMDraw(obs, MG, histogram)
def SVM():
histogram = DataParse.loadStack()
data, classifier = Classifier.train(histogram)
Draw.SVMDraw(data, classifier, histogram)
def kMeans():
histogram = DataParse.loadStack()
data, centroidList, distance = Cluster.kMeans(histogram, main.CLUSTERS)
Draw.clusterDraw(data, centroidList, histogram)
def histogram():
histogram = DataParse.loadStack()
Draw.draw(histogram)
def histogramToPNG():
histogram = DataParse.loadStack(300, 200, 3000, mode="12bit", segmented=False)
Utils.saveHistogramAsPNG(histogram)
def volumeRenderLowerCorner():
histogram = DataParse.loadStack()
histogram = Utils.magnifyLowerLeft(histogram, .25)
Draw.volumeRender(histogram, mode="greyscale", prune=0)
def twelveBitVolumeRender():
histogram = DataParse.loadStack(300, 200, 3000, mode="12bit")
Draw.volumeRender(histogram, mode="greyscale", prune=0)
def volumeRender():
histogram = DataParse.loadStack(300, 200, 3000, mode="8bit", segmented=False)
Draw.volumeRender(histogram, mode="fullcolor", prune=0)
