Question

我使用Opencv和Python，我尝试为阈值创建一个轨迹栏现在我想当我关闭轨迹栏的窗口时，函数会返回最小阈值或二进制图像的值，因为我会在轮廓检测中使用此图像但我不想使用这种方法（当我按下按钮ESC时：ch = cv2.waitKey(27) if ch == 27 or ch == 0x10001b: break 我希望sut按下退出的红色按钮enter image description here 我的代码：

#-*- coding: utf-8 -*-

import numpy as np
import cv2

 # cv2.threshold(src, thresh, maxval, type[, dst])

Image = cv2.imread("114.png")
cv2.namedWindow("Main", cv2.WINDOW_NORMAL)
cv2.imshow("Main", Image)


# Extraction of Blue channel
b = Image[:,:,0]
cv2.namedWindow("Only Blue Channel", cv2.WINDOW_NORMAL)
cv2.imshow("Only Blue Channel", b)

# Callback Function for Trackbar (but do not any work)
def nothing(*arg):
    pass

 # Generate trackbar Window Name
TrackbarName = "Trackbar"

 # Make Window and Trackbar
cv2.namedWindow("window", cv2.WINDOW_NORMAL)
cv2.createTrackbar(TrackbarName, "window", 0, 250, nothing)

img_threshed = np.zeros(b.shape, np.uint8)

while True:
  # Get kernel size in trackbar
  TrackbarPos = cv2.getTrackbarPos(TrackbarName, "window")
  # Apply dilation
  limit = TrackbarPos
  ret,img_threshed = cv2.threshold(b,limit,255,cv2.THRESH_BINARY)
  # Show in window
  cv2.imshow("window", img_threshed)

# Expanding borders of the objects
  kernel = np.ones((9, 9),np.uint8)
  img_dilated = cv2.dilate(img_threshed, kernel)
  cv2.namedWindow("Dilated Blue Channel", cv2.WINDOW_NORMAL)
  cv2.imshow("Dilated Blue Channel", img_dilated)


# Retrieving contours by subtraction base objects from the expanded objects
  img_contours = img_dilated - img_threshed
  cv2.namedWindow("Contours", cv2.WINDOW_NORMAL)
  cv2.imshow("Contours", img_contours)


cv2.destroyAllWindows()

如何从轨迹栏获取价值

0 个答案: