newlearnershiv

可以使用“查找轮廓”并用方框将其绑定。

image = cv2.imread("filename") 
image = cv2.fastNlMeansDenoisingColored(image,None,10,10,7,21)
gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)

res,thresh = cv2.threshold(gray,150,255,cv2.THRESH_BINARY_INV) #threshold 
kernel = cv2.getStructuringElement(cv2.MORPH_CROSS,(3,3)) 

 dilated = cv2.dilate(thresh,kernel,iterations = 5) 

 val,contours, hierarchy = 
            cv2.findContours(dilated,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_NONE) 

 coord = []
 for contour in contours:  
      [x,y,w,h] = cv2.boundingRect(contour)   
      if h>300 and w>300:   
          continue   
      if h<40 or w<40:   
          continue  
      coord.append((x,y,w,h)) 

 coord.sort(key=lambda tup:tup[0]) # if the image has only one sentence sort in one axis

 count = 0
 for cor in coord:
        [x,y,w,h] = cor
        t = image[y:y+h,x:x+w,:]
        cv2.imwrite(str(count)+".png",t)
  print("number of char in image:", count)