blocks|key|4312595|text|您可以通过将两个图像混合在一起，创建一个只是您的蓝色图像，并将其与您选择的alpha混合在一起来完成此操作：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4312596|here是关于如何做到这一点的OpenCV教程。|offset|length|4312597|您可以在此blog+post上查看这如何影响您的图像的更详细信息|4312598|entityMap|0|LINK|mutability|MUTABLE|url|https://docs.opencv.org/2.4/doc/tutorials/core/adding_images/adding_images.html|1|http://eric-yuan.me/poisson-blending/^0|0|0|4|0|0|5|9|1|0^^$0|@$1|2|3|4|5|6|7|R|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|S|8|@]|9|@$D|T|E|U|1|V]]|A|$]]|$1|F|3|G|5|6|7|W|8|@]|9|@$D|X|E|Y|1|Z]]|A|$]]|$1|H|3|-4|5|6|7|10|8|@]|9|@]|A|$]]]|I|$J|$5|K|L|M|A|$N|O]]|P|$5|K|L|M|A|$N|Q]]]]

You could do this by blending two images together, create one that is just your blue image, and blend it together with an alpha of your choosing:

<a href="https://docs.opencv.org/2.4/doc/tutorials/core/adding_images/adding_images.html" rel="nofollow noreferrer">here</a> is the OpenCV tutorial on how to do that.

You can see how this can affect your images in more detail on this <a href="http://eric-yuan.me/poisson-blending/" rel="nofollow noreferrer">blog post</a>

blocks|key|4312727|text|典型的位图图像是二维像素网格，其中每个像素是一组从0到255的三个整数，表示红色、绿色和蓝色。如果只想查看图像的蓝色通道，可以从原始图像中的像素创建一个新图像，然后将每个像素的红色和绿色像素值设置为0，只保留蓝色。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4312728|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

A typical bitmap image is a two-dimensional grid of pixels, where each pixel is a group of three integers ranging from 0 to 255, representing red, green, and blue. If you want to view only the blue channel of an image, you could create a new image from the pixels in your original image, and set the red and green pixel values to 0 for each pixel, leaving only blue.

blocks|key|4312813|text|要准确回答您的问题，只需将其他通道设置为0即可。您可能希望将它们设置得更高一点，否则结果会有点暗，但您可以这样做：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4312814|img+=+cv2.imread(your_image)
img[:,+:,+1]+=+0++#+(or+20)
img[:,+:,+2]+=+0

cv2.namedWindow("test")

while+True:
++++cv2.imshow("test",+a)
++++ch+=+cv2.waitKey+&+0xFF
++++if+ch+==+ord('q'):
++++break

cv2.destroyAllWindows()|code-block|syntax|javascript|4312815|下面是一个例子：|4312816|​|4312817|📷|atomic|offset|length|4312818|4312819|4312820|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/55894bfa357b1ec821997a68cacddc0e.jpeg|imageAlt|1|https://ask.qcloudimg.com/http-save/yehe-900000/d1a45940926ef2ed15b90dc279452a29.jpeg^0|0|0|0|0|0|1|0|0|0|1|1|0|0^^$0|@$1|2|3|4|5|6|7|12|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|13|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|14|8|@]|9|@]|A|$]]|$1|I|3|J|5|6|7|15|8|@]|9|@]|A|$]]|$1|K|3|L|5|M|7|16|8|@]|9|@$N|17|O|18|1|19]]|A|$]]|$1|P|3|L|5|M|7|1A|8|@]|9|@$N|1B|O|1C|1|1D]]|A|$]]|$1|Q|3|J|5|6|7|1E|8|@]|9|@]|A|$]]|$1|R|3|-4|5|6|7|1F|8|@]|9|@]|A|$]]]|S|$T|$5|U|V|W|A|$X|Y|Z|-4]]|10|$5|U|V|W|A|$X|11|Z|-4]]]]

To answer your question exactly, you can just set the other channels to 0. You might want to set them a bit higher than that or things end up a bit dark, but here you go:

<pre><code>img = cv2.imread(your_image)
img[:, :, 1] = 0 # (or 20)
img[:, :, 2] = 0

cv2.namedWindow("test")

while True:
 cv2.imshow("test", a)
 ch = cv2.waitKey &amp; 0xFF
 if ch == ord('q'):
 break

cv2.destroyAllWindows()
</code></pre>

Here's an example:

<a href="https://i.stack.imgur.com/ZsdAI.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/ZsdAI.jpg" alt="Original Image"></a>
<a href="https://i.stack.imgur.com/zQMs7.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/zQMs7.jpg" alt="Blue Cage"></a>

blocks|key|4312809|text|纯numpy解决方案|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|4312810|import+numpy+as+np
import+skimage.io

def+blend(a,+b,+alpha):
++++return+(alpha+*+a+%2B+(1+-+alpha)+*+b).astype(np.uint8)

def+luma(img):
++++rgb_to_luma+=+np.array([0.2126,+0.7152,+0.0722])+#+BT.709
++++return+np.repeat((img+*+rgb_to_luma).sum(axis=-1).astype(np.uint8),+3).reshape(img.shape)

BGCOLOR+=+np.array([1,+174,+242])

img+=+skimage.io.imread('city.jpg')
bg+=+np.ones_like(img)+*+BGCOLOR

skimage.io.imsave('blue.png',+blend(luma(img),+bg,+0.2))|code-block|syntax|javascript|4312811|​|4312812|📷|atomic|4312813|4312814|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/ef8a1d282bce1e57455d52331c64e85e.png|imageAlt^0|1|5|0|0|0|0|1|0|0|0^^$0|@$1|2|3|4|5|6|7|Z|8|@$9|10|A|11|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|12|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|13|8|@]|D|@]|E|$]]|$1|M|3|N|5|O|7|14|8|@]|D|@$9|15|A|16|1|17]]|E|$]]|$1|P|3|L|5|6|7|18|8|@]|D|@]|E|$]]|$1|Q|3|-4|5|6|7|19|8|@]|D|@]|E|$]]]|R|$S|$5|T|U|V|E|$W|X|Y|-4]]]]

Pure <code>numpy</code> solution

<pre><code>import numpy as np
import skimage.io

def blend(a, b, alpha):
 return (alpha * a + (1 - alpha) * b).astype(np.uint8)

def luma(img):
 rgb_to_luma = np.array([0.2126, 0.7152, 0.0722]) # BT.709
 return np.repeat((img * rgb_to_luma).sum(axis=-1).astype(np.uint8), 3).reshape(img.shape)

BGCOLOR = np.array([1, 174, 242])

img = skimage.io.imread('city.jpg')
bg = np.ones_like(img) * BGCOLOR

skimage.io.imsave('blue.png', blend(luma(img), bg, 0.2))
</code></pre>

<a href="https://i.stack.imgur.com/jpgBg.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/jpgBg.png" alt="enter image description here"></a>

I have the following image that l would like to colorize with blue color.

Image input : 
<a href="https://i.stack.imgur.com/s4NIz.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/s4NIz.jpg" alt="inputs"></a>

Expected output : 
<a href="https://i.stack.imgur.com/Zfmze.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/Zfmze.jpg" alt="Expected_output"></a>

Is there any skimage or opencv tool that allows to do this kind of operation ?

Thank you

How can l colorize an RGB image with blue color?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我有下面的图像，l想要用蓝色上色。图像输入：​预期输出：​有没有skimage或opencv工具可以做这样的操作？谢谢

问L如何将RGB图像着色为蓝色？
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问L如何将RGB图像着色为蓝色？
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