import cv2
import numpy as np
def Img_Outline(input_dir):
original_img = cv2.imread(input_dir)
gray_img = cv2.cvtColor(original_img, cv2.COLOR_BGR2GRAY)
blurred = cv2.GaussianBlur(gray_img, (9, 9), 0) # 高斯模糊去噪（设定卷积核大小影响效果）
_, RedThresh = cv2.threshold(blurred, 165, 255, cv2.THRESH_BINARY) # 设定阈值165（阈值影响开闭运算效果）
kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (5, 5)) # 定义矩形结构元素
closed = cv2.morphologyEx(RedThresh, cv2.MORPH_CLOSE, kernel) # 闭运算（链接块）
opened = cv2.morphologyEx(closed, cv2.MORPH_OPEN, kernel) # 开运算（去噪点）
return original_img, gray_img, RedThresh, closed, opened
def findContours_img(original_img, opened):
image, contours, hierarchy = cv2.findContours(opened, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
c = sorted(contours, key=cv2.contourArea, reverse=True)[1] # 计算最大轮廓的旋转包围盒
rect = cv2.minAreaRect(c)
angle = rect[2]
print("angle",angle)
box = np.int0(cv2.boxPoints(rect))
draw_img = cv2.drawContours(original_img.copy(), [box], -1, (0, 0, 255), 3)
rows, cols = original_img.shape[:2]
M = cv2.getRotationMatrix2D((cols / 2, rows / 2), angle, 1)
result_img = cv2.warpAffine(original_img, M, (cols, rows))
return result_img,draw_img
if __name__ == "__main__":
input_dir = "gongjiaoka.png"
original_img, gray_img, RedThresh, closed, opened = Img_Outline(input_dir)
result_img,draw_img = findContours_img(original_img,opened)
cv2.imshow("original_img", original_img)
cv2.imshow("gray_img", gray_img)
cv2.imshow("RedThresh", RedThresh)
cv2.imshow("Close", closed)
cv2.imshow("Open", opened)
cv2.imshow("draw_img", draw_img)
cv2.imshow("result_img", result_img)
cv2.waitKey(0)
cv2.destroyAllWindows()
