Python otsu_threshold Exemples

Exemple #1

def otsu_threshold(im, maxCount=255, verbose=False):

   hist = cv2.calcHist([im], [0], None, [maxCount+1], [0, maxCount+1])
   firstIndex = np.min(im)
   lastIndex = np.max(im)
   print(firstIndex) 
   print(lastIndex)
   r = np.zeros(maxCount+1)
   for i in range(65, 206):
      

   threshold = np.argmax(r)

   threshIm = np.ones(np.shape(im))
   threshIm = threshIm * im
   np.place(threshIm, im < threshold, 0)
   np.place(threshIm, im >= threshold, 1)

   return (threshIm, threshold)

if __name__ == '__main__':

   import cv2
   import ipcv
   import os.path
   import time

   home = os.path.expanduser('~')
   filename = home + os.path.sep + 'src/python/examples/data/giza.jpg'

   im = cv2.imread(filename, cv2.IMREAD_UNCHANGED)
   print('Filename = {0}'.format(filename))
   print('Data type = {0}'.format(type(im)))
   print('Image shape = {0}'.format(im.shape))
   print('Image size = {0}'.format(im.size))

   startTime = time.time()
   thresholdedImage, threshold = ipcv.otsu_threshold(im, verbose=True)
   print('Elapsed time = {0} [s]'.format(time.time() - startTime))

   print('Threshold = {0}'.format(threshold))

   cv2.namedWindow(filename, cv2.WINDOW_AUTOSIZE)
   cv2.imshow(filename, im)
   cv2.namedWindow(filename + ' (Thresholded)', cv2.WINDOW_AUTOSIZE)
   cv2.imshow(filename + ' (Thresholded)', thresholdedImage * 255)

   action = ipcv.flush()

Exemple #2

Fichier : HW3.py Projet : ccalandra98/Project-Files

if __name__ == '__main__':

    import cv2
    import ipcv
    import os.path
    import time

    home = os.path.expanduser('~')
    filename = home + os.path.sep + 'src/python/examples/data/giza.jpg'

    im = cv2.imread(filename, cv2.IMREAD_UNCHANGED)
    print('Filename = {0}'.format(filename))
    print('Data type = {0}'.format(type(im)))
    print('Image shape = {0}'.format(im.shape))
    print('Image size = {0}'.format(im.size))

    startTime = time.time()
    thresholdedImage, threshold = ipcv.otsu_threshold(im, verbose=False)
    print('Elapsed time = {0} [s]'.format(time.time() - startTime))

    print('Threshold = {0}'.format(threshold))

    cv2.namedWindow(filename, cv2.WINDOW_AUTOSIZE)
    cv2.imshow(filename, im)
    cv2.namedWindow(filename + ' (Thresholded)', cv2.WINDOW_AUTOSIZE)
    cv2.imshow(filename + ' (Thresholded)', thresholdedImage * 255)

    action = ipcv.flush()

Exemple #3

Fichier : otsu.py Projet : ktp-forked-repos/digital-image-processing

PYTHON TEST HARNESS
"""
if __name__ == '__main__':

    import cv2
    import ipcv
    import os.path
    import time

    home = os.path.expanduser('~')
    filename = home + os.path.sep + 'src/python/examples/data/giza.jpg'

    im = cv2.imread(filename, cv2.IMREAD_UNCHANGED)
    print('Filename = {0}'.format(filename))
    print('Data type = {0}'.format(type(im)))
    print('Image shape = {0}'.format(im.shape))
    print('Image size = {0}'.format(im.size))

    startTime = time.time()
    thresholdedImage, threshold = ipcv.otsu_threshold(im, verbose=True)
    print('Elapsed time = {0} [s]'.format(time.time() - startTime))

    print('Threshold = {0}'.format(threshold))

    cv2.namedWindow(filename, cv2.WINDOW_AUTOSIZE)
    cv2.imshow(filename, im)
    cv2.namedWindow(filename + ' (Thresholded)', cv2.WINDOW_AUTOSIZE)
    cv2.imshow(filename + ' (Thresholded)', thresholdedImage * 255)

    action = ipcv.flush()

Exemple #4

Fichier : otsu.py Projet : JRJurman/digital-image-processing

PYTHON TEST HARNESS
"""
if __name__ == '__main__':

    import cv2
    import ipcv
    import os.path
    import time

    home = os.path.expanduser('~')
    filename = home + os.path.sep + 'src/python/examples/data/giza.jpg'

    im = cv2.imread(filename, cv2.IMREAD_UNCHANGED)
    print('Filename = {0}'.format(filename))
    print('Data type = {0}'.format(type(im)))
    print('Image shape = {0}'.format(im.shape))
    print('Image size = {0}'.format(im.size))

    startTime = time.time()
    thresholdedImage, threshold = ipcv.otsu_threshold(im, verbose=True)
    print('Elapsed time = {0} [s]'.format(time.time() - startTime))

    print('Threshold = {0}'.format(threshold))

    cv2.namedWindow(filename, cv2.WINDOW_AUTOSIZE)
    cv2.imshow(filename, im)
    cv2.namedWindow(filename + ' (Thresholded)', cv2.WINDOW_AUTOSIZE)
    cv2.imshow(filename + ' (Thresholded)', thresholdedImage * 255)

    action = ipcv.flush()