import cv2 as cv
import numpy as np
def show(img, title):
cv.imshow(title, img)
cv.waitKey()
cv.destroyAllWindows()
image = cv.imread('./image_cn_web/luomao.png')
image_gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY) # 灰度图
image_blur = cv.GaussianBlur(image_gray, (25, 25), 0, 0) # 过滤降噪
# show(image_blur, '过滤降噪')
# 二值化
img_bin = cv.adaptiveThreshold(image_blur, 255, cv.ADAPTIVE_THRESH_GAUSSIAN_C, cv.THRESH_BINARY_INV, blockSize=35, C=2)
show(img_bin, '二值化')
# 形态学处理
kernel = np.ones((3, 3), np.uint8)
img_bin_open = cv.morphologyEx(img_bin, cv.MORPH_OPEN, kernel) # 开运算
show(img_bin_open, '开运算')
kernel = np.ones((25, 25), np.uint8)
img_bin_close = cv.morphologyEx(img_bin_open, cv.MORPH_CLOSE, kernel) # 闭运算
show(img_bin_close, '闭运算')
kernel = np.ones((7, 7), np.uint8)
image_bin_open = cv.morphologyEx(img_bin_close, cv.MORPH_OPEN, kernel) # 开运算
show(img_bin_open, '开运算')
kernel = np.ones((25, 25), np.uint8)
image_bin_close = cv.morphologyEx(image_bin_open, cv.MORPH_CLOSE, kernel) # 闭运算
show(img_bin_close, '闭运算')
cnts, hierarchy = cv.findContours(image_bin_close, cv.RETR_EXTERNAL, cv.CHAIN_APPROX_SIMPLE)
img2 = image.copy()
img_withcontours = cv.drawContours(img2, cnts, -1, (0, 0, 255), 3)
# cv.imshow('result', img_withcontours)
# cv.waitKey()
# cv.destroyAllWindows()
