43 lines
1.6 KiB
Python
43 lines
1.6 KiB
Python
import cv2
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import numpy as np
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# 滑动条的回调函数，获取滑动条位置处的值
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def empty(a):
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h_min = cv2.getTrackbarPos("Hue Min", "TrackBars")
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h_max = cv2.getTrackbarPos("Hue Max", "TrackBars")
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s_min = cv2.getTrackbarPos("Sat Min", "TrackBars")
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s_max = cv2.getTrackbarPos("Sat Max", "TrackBars")
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v_min = cv2.getTrackbarPos("Val Min", "TrackBars")
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v_max = cv2.getTrackbarPos("Val Max", "TrackBars")
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print(h_min, h_max, s_min, s_max, v_min, v_max)
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return h_min, h_max, s_min, s_max, v_min, v_max
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path = './data/004.png'
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# 创建一个窗口，放置6个滑动条
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cv2.namedWindow("TrackBars")
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cv2.resizeWindow("TrackBars", 640, 240)
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cv2.createTrackbar("Hue Min", "TrackBars", 0, 120, empty)
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cv2.createTrackbar("Hue Max", "TrackBars", 19, 120, empty)
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cv2.createTrackbar("Sat Min", "TrackBars", 110, 255, empty)
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cv2.createTrackbar("Sat Max", "TrackBars", 240, 255, empty)
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cv2.createTrackbar("Val Min", "TrackBars", 153, 255, empty)
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cv2.createTrackbar("Val Max", "TrackBars", 255, 255, empty)
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while True:
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img = cv2.imread(path)
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imgHSV = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
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# 调用回调函数，获取滑动条的值
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h_min, h_max, s_min, s_max, v_min, v_max = empty(0)
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lower = np.array([h_min, s_min, v_min])
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upper = np.array([h_max, s_max, v_max])
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# 获得指定颜色范围内的掩码
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mask = cv2.inRange(imgHSV, lower, upper)
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# 对原图图像进行按位与的操作，掩码区域保留
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imgResult = cv2.bitwise_and(img, img, mask=mask)
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cv2.imshow("Mask", mask)
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cv2.imshow("Result", imgResult)
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cv2.waitKey(1) |