Python 如何定义阈值以仅检测图像中的绿色对象：Opencv
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How to define a threshold value to detect only green colour objects in an image :Opencv
提问by S.Am
I just want to detect only green objects from an image which captured in natural environment.How to define it? Because in here I want to pass the threshold value let's say 'x', by using this x I want to get only green colour objects in to one colour(white) others are must appear in another colour(black) Please guide me to do this. thanks in advance.
我只想从在自然环境中捕获的图像中仅检测绿色物体。如何定义它？因为在这里我想通过阈值让我们说'x'，通过使用这个 x 我只想让绿色物体变成一种颜色（白色）其他必须出现在另一种颜色（黑色）请指导我做这个。提前致谢。
回答by u3547485
Update:
更新：
I make a HSVcolormap. It's more easy and accurateto find the color range using this map than before.
我做了一个HSV颜色图。就是more easy and accurate用这张图比以前找到颜色范围。
And maybe I should change use (40, 40,40) ~ (70, 255,255) in hsvto find the green.
也许我应该改变使用(40, 40,40) ~ (70, 255,255) in hsv来找到green.
Original answer:
原答案：
- Convert to
HSVcolor-space, - Use
cv2.inRange(hsv, hsv_lower, hsv_higher)to get the green mask.
- 转换为
HSV色彩空间， - 使用
cv2.inRange(hsv, hsv_lower, hsv_higher)中获取绿色面具。
We use the range (in hsv): (36,0,0) ~ (86,255,255)for this sunflower.
我们使用the range (in hsv):(36,0,0) ~ (86,255,255)为此sunflower。
The source image:
源图像：
The masked green regions:
蒙版的绿色区域：
More steps:
更多步骤：
The core source code:
核心源码：
import cv2
import numpy as np
## Read
img = cv2.imread("sunflower.jpg")
## convert to hsv
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
## mask of green (36,25,25) ~ (86, 255,255)
# mask = cv2.inRange(hsv, (36, 25, 25), (86, 255,255))
mask = cv2.inRange(hsv, (36, 25, 25), (70, 255,255))
## slice the green
imask = mask>0
green = np.zeros_like(img, np.uint8)
green[imask] = img[imask]
## save
cv2.imwrite("green.png", green)
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