遮罩图像的BGR值(OpenCV,Python) [英] BGR values of masked image (OpenCV, Python)

查看:244
本文介绍了遮罩图像的BGR值(OpenCV,Python)的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

使用后续图片.

...我正在应用以下代码来创建圆形蒙版:

... I am applying this code to create a circle mask:

import cv2
import numpy as np

img = cv2.imread("car.png")

height, width, depth = img.shape
circle_img = np.zeros((height, width), np.uint8)

mask = cv2.circle(circle_img, (int(width / 2), int(height / 2)), 90, 1, thickness=-1)
masked_img = cv2.bitwise_and(img, img, mask=circle_img)

cv2.imshow("masked", masked_img)
cv2.waitKey(0)

这是输出.

如何使用OpenCV查找圆的BGR值?

How can I find BGR values of the circle using OpenCV ?

推荐答案

您可以使用numpy数组来实现.

You can do it using numpy arrays.

circle_locations = mask == 1
bgr = img[circle_locations]

我不确定您的掩码是否具有{0,1}中的值,尽管我认为确实如此.如果它的背景值为0,并且所有正值为前景,则只需将== 1更改为> 1.

I'm not sure if your mask has values in {0, 1} though I assume it does. If its background value is 0 and all positive values are forground, just change the == 1 to a > 1.

这篇关于遮罩图像的BGR值(OpenCV,Python)的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

查看全文
登录 关闭
扫码关注1秒登录
发送“验证码”获取 | 15天全站免登陆