提取边界框并将其另存为图像 [英] Extract bounding box and save it as an image

问题描述

假设您有以下图片:

现在，我想将每个独立字母提取到单独的图像中.目前，我已经恢复了轮廓，然后绘制了一个边框，在本例中为字符a:

Now I want to extract each of the independent letters into individual images. Currently, I've recovered the contours and then drew a bounding box, in this case for the character a:

的边框

此后，我要提取每个框(在本例中为字母a)并将其保存到图像文件中.

After this, I want to extract each of the boxes (in this case for the letter a) and save it to an image file.

预期结果:

到目前为止，这是我的代码:

Here's my code so far:

import numpy as np
import cv2

im = cv2.imread('abcd.png')
im[im == 255] = 1
im[im == 0] = 255
im[im == 1] = 0
im2 = cv2.cvtColor(im,cv2.COLOR_BGR2GRAY)
ret,thresh = cv2.threshold(im2,127,255,0)
contours, hierarchy = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)

for i in range(0, len(contours)):
    if (i % 2 == 0):
       cnt = contours[i]
       #mask = np.zeros(im2.shape,np.uint8)
       #cv2.drawContours(mask,[cnt],0,255,-1)
       x,y,w,h = cv2.boundingRect(cnt)
       cv2.rectangle(im,(x,y),(x+w,y+h),(0,255,0),2)
       cv2.imshow('Features', im)
       cv2.imwrite(str(i)+'.png', im)

cv2.destroyAllWindows()

提前谢谢.

推荐答案

以下内容将给您一个字母

The following will give you a single letter

letter = im[y:y+h,x:x+w]

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