python代码实现HSV的阈值查找

最新推荐文章于 2025-03-17 08:53:06 发布

Porter Pan

最新推荐文章于 2025-03-17 08:53:06 发布

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分类专栏：图像处理

原文链接：https://blog.youkuaiyun.com/weixin_43124455/article/details/105082408

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代码来自网络

import sys
sys.path.remove('/opt/ros/kinetic/lib/python2.7/dist-packages')
import cv2
import numpy as np


def nothing(x):
	pass


# use track bar to perfectly define (1/2)
# the lower and upper values for HSV color space(2/2)
cv2.namedWindow("Tracking")
# 参数：1 Lower/Upper HSV 3 startValue 4 endValue
cv2.createTrackbar("LH", "Tracking", 35, 255, nothing)
cv2.createTrackbar("LS", "Tracking", 43, 255, nothing)
cv2.createTrackbar("LV", "Tracking", 46, 255, nothing)
cv2.createTrackbar("UH", "Tracking", 77, 255, nothing)
cv2.createTrackbar("US", "Tracking", 255, 255, nothing)
cv2.createTrackbar("UV", "Tracking", 255, 255, nothing)

while True:
	frame = cv2.imread("/home/porter/QTProject/fangkuaijiance/build-fangkuaijiance-unknown-Debug/image/20200919_194123_color.jpg")
	hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

	l_h = cv2.getTrackbarPos("LH", "Tracking")
	l_s = cv2.getTrackbarPos("LS", "Tracking")
	l_v = cv2.getTrackbarPos("LV", "Tracking")

	u_h = cv2.getTrackbarPos("UH", "Tracking")
	u_s = cv2.getTrackbarPos("US", "Tracking")
	u_v = cv2.getTrackbarPos("UV", "Tracking")

	l_g = np.array([l_h, l_s, l_v])  # lower green value
	u_g = np.array([u_h, u_s, u_v])

	mask = cv2.inRange(hsv, l_g, u_g)

	res = cv2.bitwise_and(frame, frame, mask=mask)  # src1,src2

	cv2.imshow("frame", frame)
	cv2.imshow("mask", mask)
	cv2.imshow("res", res)
	key = cv2.waitKey(1)
	if key == 27:  # Esc
		break

cv2.destroyAllWindows()

代码转载自：https://blog.youkuaiyun.com/weixin_43124455/article/details/105082408

https://www.cnblogs.com/wangxinyu0628/p/5928824.html