Beispiel #1
0
  def erodeAndDilate(self, processed):
    self.newStep()
    options = self.options

    # contr = ImageEnhance.Contrast(self.processed)
    # contr = contr.enhance(2)
    # processed = cv.fromarray(numpy.array(contr))

    _processed = cv.fromarray(numpy.array(processed))

    # res = cv.CreateImage(cv.GetSize(processed), 8, 1)
    # cv.CvtColor(processed, res, cv.CV_BGR2GRAY)

    ImageHelpers.dilateImage(_processed, 1)
    ImageHelpers.erodeImage(_processed, 1)

    processed = Image.fromarray(numpy.uint8(_processed))

    if options.verbose:
      processed.save(options.output_dir + '/{}-erode-and-dilate.png'.format(self.getStep()))

    return processed
Beispiel #2
0
#!/usr/bin/python
# -*- coding: iso-8859-15 -*-

from PIL import Image
from operator import itemgetter
import os, hashlib, time, re, numpy, string, math
import helpers as ImageHelpers
import core.logger as Logger
from scipy import ndimage

"""
# Use Denoising
clean = cv2.fastNlMeansDenoising(numpy.array(im), None, 17, 4, 7)
im = Image.fromarray(numpy.uint8(clean))

# Contrast
contr = ImageEnhance.Contrast(im)
im = contr.enhance(1.3)

# Sharpness
sharp = ImageEnhance.Sharpness(im)
im = sharp.enhance(1.1)

# Dilate and Erode image
_processed = cv.fromarray(numpy.array(processed))
ImageHelpers.dilateImage(_processed, 1)
ImageHelpers.erodeImage(_processed, 1)

processed = Image.fromarray(numpy.uint8(_processed))
"""