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python - 应用分水岭算法后如何显示输出？

问题描述

我已经应用分水岭算法来分割古代文字的字符。现在如何将分段字符作为输出？

我正在从古代铭文中分割字符以构建 OCR。我以前尝试过 MATLAB，但没有得到足够的结果。然后我了解了分水岭算法，从他们的文档中得到了这段代码。我应用了代码，它运行但不输出任何东西。

import cv2
import numpy as np
from matplotlib import pyplot as plt

#Load image in grayscale
img = cv2.imread('templegs.png',0)

kernel = np.ones((1,1),np.uint8)
opening = cv2.morphologyEx(img, cv2.MORPH_OPEN, kernel)
blur = cv2.GaussianBlur(opening,(1,1),0)
ret3,th4 = cv2.threshold(blur,0,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU)

# sure background area
sure_bg = cv2.dilate(opening,kernel,iterations=1)
# Finding sure foreground area
dist_transform = cv2.distanceTransform(opening,cv2.DIST_L2,3)
dist_transform = np.uint8(dist_transform)
ret, sure_fg = cv2.threshold(dist_transform,0.7*dist_transform.max(),255,0)
sure_fg = np.uint8(sure_fg)
unknown = cv2.subtract(sure_bg,sure_fg)

ret, markers = cv2.connectedComponents(sure_fg)
markers = markers+1
markers[unknown==255] = 0
markers = markers.astype('int32')

#now load same image as color image
img = cv2.imread('temple.jpg',1)

markers = cv2.watershed(img,markers)
img[markers == -1] = [255,0,0]

我期望图像输出。

标签： pythonopencvimage-segmentationwatershed

解决方案

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