opencv+python实现鼠标点击图像,输出该点的RGB和HSV值

站长资源 2024/11/25 佚名

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我就废话不多说了，大家还是直接看代码吧！

import cv2
 
# 读取图片并缩放方便显示
img = cv2.imread('D:/6.jpg')
height, width = img.shape[:2]
size = (int(width * 0.2), int(height * 0.2))
# 缩放
img = cv2.resize(img, size, interpolation=cv2.INTER_AREA)
 
# BGR转化为HSV
HSV = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
 
# 鼠标点击响应事件
def getposHsv(event, x, y, flags, param):
 if event==cv2.EVENT_LBUTTONDOWN:
  print("HSV is", HSV[y, x])
 
def getposBgr(event, x, y, flags, param):
 if event==cv2.EVENT_LBUTTONDOWN:
  print("Bgr is", img[y, x])
 
cv2.imshow("imageHSV", HSV)
cv2.imshow('image', img)
cv2.setMouseCallback("imageHSV", getposHsv)
cv2.setMouseCallback("image", getposBgr)
cv2.waitKey(0)

补充知识：python opencv查看图片中任一点的像素 BGR值灰度值 HSV值

如下所示：

  # -*- coding:utf-8 -*-
  import cv2
  
  img = cv2.imread('11_13/120002.jpg')
  gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
  hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
  
  def mouse_click(event, x, y, flags, para):
    if event == cv2.EVENT_LBUTTONDOWN: # 左边鼠标点击
      print('PIX:', x, y)
      print("BGR:", img[y, x])
      print("GRAY:", gray[y, x])
      print("HSV:", hsv[y, x])
  
  if __name__ == '__main__':
    cv2.namedWindow("img")
    cv2.setMouseCallback("img", mouse_click)
    while True:
      cv2.imshow('img', img)
      if cv2.waitKey() == ord('q'):
        break
    cv2.destroyAllWindows()

Windows下有画图软件可以直接查看图片的RGB值，但是没办法查看HSV值，这样一个小程序就可以帮你做到。

附一张opencv下HSV范围图片：