python opencv 影象膨脹

• 1，opencv 影象 形態變換
• 2，閉運算 開運算

1，opencv 影象 形態變換

#! /usr/local/bin/python3
# coding:utf-8
"""
影象二值化 全域性閥值 
"""
from PIL import Image
import cv2
import numpy as np

src = "/root/captcha_png.png"
import cv2
img = cv2.imread(src , 0)
#高斯濾波
gauss = cv2.GaussianBlur(
 
img,(5,5),0)
#全域性二值化
ret , thresh1 = cv2.threshold(gauss ,127, 255, cv2.THRESH_BINARY)
cv2.imwrite("/root/captcha_gauss.png", thresh1)

kernel = np.ones((3,3), np.uint8)
#erosion = cv2.erode(thresh1, kernel, iterations=1)
dilation = cv2.dilate(thresh1, kernel, iterations=1)
cv2.imwrite("/root/captcha_dilation.png"
 
, dilation)
cv2.imshow("dilation", dilation)
cv2.waitKey()

• 二值化 高斯濾波
  
• 膨脹後圖片
  

2，閉運算 開運算

#! /usr/local/bin/python3
# coding:utf-8
"""
影象二值化 全域性閥值 
"""
from PIL import Image
import cv2
import numpy as np

src = "/root/captcha_png.png"
import cv2
img = cv2.imread(src , 0)
#高斯濾波
gauss = cv2.GaussianBlur(
 
img,(5,5),0)
#全域性二值化
ret , thresh1 = cv2.threshold(gauss ,127, 255, cv2.THRESH_BINARY)
cv2.imwrite("/root/captcha_gauss.png", thresh1)

kernel = np.ones((3,3), np.uint8)
#erosion = cv2.erode(thresh1, kernel, iterations=1)
dilation = cv2.dilate(thresh1, kernel, iterations=1)
cv2.imwrite("/root/captcha_dilation.png", dilation)
#cv2.imshow("dilation", dilation)
#cv2.waitKey()

#定義結構元素
rect = cv2.getStructuringElement(cv2.MORPH_RECT, (2,2))

#閉運算
closed = cv2.morphologyEx(dilation, cv2.MORPH_CLOSE, rect)
cv2.imshow("close", closed)
cv2.waitKey()

opened = cv2.morphologyEx(dilation, cv2.MORPH_OPEN, rect)
cv2.imshow("open", opened)
cv2.waitKey()

• 閉運算
  
• 開運算
  
  參考：

1. OpenCV-Python教程:14.形態變換
2. opencv for python （14） 形態學轉換（影象腐蝕、影象膨脹、開運算、閉運算、形態學梯度、禮帽、黑帽）
3. python opencv形態學變換：腐蝕與膨脹
4. OpenCV-Python教程（4、形態學處理）開運算和閉運算