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:
以上这篇opencv+python实现鼠标点击图像,输出该点的RGB和HSV值就是小编分享给大家的全部内容了,希望能给大家一个参考。