如何将图像转换为字符段?

时间:2012-06-09 20:07:37

标签: matlab opencv computer-vision ocr image-segmentation

通常在OCR过程中,图像文件基本上被分割成段,每个字符被重新分配为一个段。 例如,Unsegmented text as image

必须转变为类似的东西 Image in which text has been segmented and is ready for OCR

此外,有没有像泰卢固语这样的亚洲语言的算法可以用于此目的?如果没有,这对英语怎么做?

1 个答案:

答案 0 :(得分:40)

使用OpenCV可以轻松完成。以下是示例代码:

import cv2
import numpy as np

# Load the image
img = cv2.imread('sof.png')

# convert to grayscale
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

# smooth the image to avoid noises
gray = cv2.medianBlur(gray,5)

# Apply adaptive threshold
thresh = cv2.adaptiveThreshold(gray,255,1,1,11,2)
thresh_color = cv2.cvtColor(thresh,cv2.COLOR_GRAY2BGR)

# apply some dilation and erosion to join the gaps
thresh = cv2.dilate(thresh,None,iterations = 3)
thresh = cv2.erode(thresh,None,iterations = 2)

# Find the contours
contours,hierarchy = cv2.findContours(thresh,cv2.RETR_LIST,cv2.CHAIN_APPROX_SIMPLE)

# For each contour, find the bounding rectangle and draw it
for cnt in contours:
    x,y,w,h = cv2.boundingRect(cnt)
    cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
    cv2.rectangle(thresh_color,(x,y),(x+w,y+h),(0,255,0),2)

# Finally show the image
cv2.imshow('img',img)
cv2.imshow('res',thresh_color)
cv2.waitKey(0)
cv2.destroyAllWindows()

输出如下所示:

enter image description here enter image description here