def _findGalaxyBulgeBlobs(galaxy):
img = galaxy.imageWithoutBackground
graynp = img.getGrayNumpy()
stretched = np.array(graynp, dtype=np.float32)*(255.0/graynp.max())
stretched = Image(stretched)
return stretched.threshold(220).binarize().invert().findBlobs(minsize=4)
droplets = Image('data_s7.jpg')
## Once you have an image you can do a ton of stuff!
## URL (official documentation) about available methods:
## http://simplecv.org/docs/SimpleCV.html#i/SimpleCV.ImageClass.Image
## Display the image & the image size
# droplets.show()
# time.sleep(5)
img_size = droplets.size()
# print 'Image size:', img_size
## Convert to black and white (applying a simple threshold value)
droplets = droplets.threshold(75)
# droplets.show()
# time.sleep(5)
## Cropping the image into the four pieces
## The x coords are always the whole size
x = 55
segment_height = img_size[1]/4
y_coords = [i * segment_height for i in range(4)]
# print segment_height, y_coords
avg_sizes = []
for y in y_coords:
