发布于 2020-03-14 17:22:31
尝试使用tesseract,一个谷歌的OCR引擎,它在做OCR时会很有帮助。
尝试使用此方法删除背景
import cv2
import numpy as np
from matplotlib import pyplot as plt
image_bgr = cv2.imread('images/plane_256x256.jpg')
image_rgb = cv2.cvtColor(image_bgr, cv2.COLOR_BGR2RGB)
rectangle = (0, 56, 256, 150)
Create initial mask
mask = np.zeros(image_rgb.shape[:2], np.uint8)
# Create temporary arrays used by grabCut
bgdModel = np.zeros((1, 65), np.float64)
fgdModel = np.zeros((1, 65), np.float64)
# Run grabCut
cv2.grabCut(image_rgb, # Our image
mask, # The Mask
rectangle, # Our rectangle
bgdModel, # Temporary array for background
fgdModel, # Temporary array for background
5, # Number of iterations
cv2.GC_INIT_WITH_RECT) # Initiative using our rectangle
# Create mask where sure and likely backgrounds set to 0, otherwise 1
mask_2 = np.where((mask==2) | (mask==0), 0, 1).astype('uint8')
# Multiply image with new mask to subtract background
image_rgb_nobg = image_rgb * mask_2[:, :, np.newaxis]
plt.imshow(image_rgb_nobg), plt.axis("off")
plt.show()
https://stackoverflow.com/questions/60681161
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