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- from copy import deepcopy
- from GrayscaleImage import GrayscaleImage
- from GaussianFilter import GaussianFilter
- class NormalizedCharacterImage(GrayscaleImage):
- def __init__(self, image=None, data=None, height=None, blur=1.1):
- if image != None:
- GrayscaleImage.__init__(self, data=deepcopy(image.data))
- elif data != None:
- GrayscaleImage.__init__(self, data=deepcopy(data))
- self.blur = blur
- self.gaussian_filter()
- #self.increase_contrast()
- self.height = height
- self.resize()
- # def increase_contrast(self):
- # """Increase the contrast by performing a grayscale mapping from the
- # current maximum and minimum to a range between 0 and 1."""
- # self.data -= self.data.min()
- # self.data = self.data.astype(float) / self.data.max()
- def gaussian_filter(self):
- GaussianFilter(self.blur).filter(self)
- def resize(self):
- """Resize the image to a fixed height."""
- if self.height == None:
- return
- h, w = self.data.shape
- GrayscaleImage.resize(self, (self.height, self.height * w / h))
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