b = arr[:, :, 2] ''' # get morphological image #from src.morphology import my_erosion #fn = result_dir + 'erosion' #eroded = my_erosion(gray, fn, show=False) #from src.morphology import my_dilation #fn = result_dir + 'dilation' #dilated = my_dilation(gray, fn, show=False) from src.morphology import my_opening fn = result_dir + 'opening' opened = my_opening(gray, fn, 50, 1)
height = img.size[1] arr = np.array(img.getdata(), dtype=np.uint8).reshape(height, width, 3) # get the gray image from skimage.color import rgb2gray gray = rgb2gray(arr) arr = None #from src.hist import my_hist #fn = result_dir + 'gray_hist' #my_hist(gray, fn) #from histogram, determine the threshold value min = 0.3, max=0.6 for gray gray_tmp= np.array(gray) gray = None low, high = 0.3, 0.6 idx = low > gray_tmp gray_tmp[idx] = 0 idx = gray_tmp > high gray_tmp[idx] = 0 from src.util import saveimage fn = result_dir + 'thresh_' + str(int(low*10)) + '_' + str(int(high*10)) saveimage(gray_tmp, fn, is_gray=True) from src.morphology import my_opening fn = result_dir + 'threshed_opening' opened = my_opening(gray_tmp, fn, 1, 40) #diff = gray - opened #fn = result_dir + 'threshed gray-opening' #saveimage(diff, fn, is_gray=True)
