opencv学习（二十四）：开闭操作

代码如下：

#导入cv模块
import cv2 as cv
import numpy as np

#开操作,删除小的干扰快
def open_demo(image):
    print(image.shape)
    gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
    # ret, binary = cv.threshold(gray, 0, 255, cv.THRESH_BINARY | cv.THRESH_OTSU)
    ret, binary = cv.threshold(gray, 0, 255, cv.THRESH_BINARY_INV | cv.THRESH_OTSU)
    cv.imshow("binary image", binary)
    # kernel=cv.getStructuringElement(cv.MORPH_RECT,(15,1))#提取水平线
    # kernel = cv.getStructuringElement(cv.MORPH_RECT, (1, 15))  # 提取竖着的线
    kernel = cv.getStructuringElement(cv.MORPH_RECT, (4, 4))  # 提取竖着的线
    binary=cv.morphologyEx(binary,cv.MORPH_OPEN,kernel)
    cv.imshow("open-result",binary)

#闭操作
def close_demo(image):
    print(image.shape)
    gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
    ret, binary = cv.threshold(gray, 0, 255, cv.THRESH_BINARY | cv.THRESH_OTSU)


    cv.imshow("binary image", binary)
    kernel=cv.getStructuringElement(cv.MORPH_RECT,(15,15))
    binary=cv.morphologyEx(binary,cv.MORPH_CLOSE,kernel)
    cv.imshow("close-result",binary)

print("------------Python Opencv Tutorial!-------------")
# 读取图像，支持 bmp、jpg、png、tiff 等常用格式
#src = cv.imread("F:/Projects/images/bin2.png")
# src = cv.imread("F:/Projects/images/bin1.png")
src = cv.imread("F:/Projects/images/chars.png")
#创建窗口并显示图像
cv.namedWindow("input image",cv.WINDOW_AUTOSIZE)
cv.imshow("input image",src)   #显示原图
open_demo(src)
close_demo(src)
cv.waitKey(0)
#释放窗口
cv.destroyAllWindows()#导入cv模块
import cv2 as cv
import