如何获取二值图像的前景 (MATLAB)

发布于 2024-12-08 07:33:22 字数 203 浏览 0 评论 0原文

我有一个人摆姿势的二进制图片，我想忽略背景（黑色）部分，只获取前景（人本身，白色）。
我希望这能够融合不同背景的人。

我被困在这里了。我不知道如何继续：

mypic = imread('model1.jpg');

binarymypic = im2bw(mypic);

提前致谢。

原文

I've a binary picture of a person posing and I want to ignore the background (black) part and get only the foreground (the person itself, white).
I want this to fuse the person with a different background.

I'm stucked here. I dont know how to continue:

mypic = imread('model1.jpg');

binarymypic = im2bw(mypic);

Thanks in advance.

分享到QQ

分享到微博

如果你对这篇内容有疑问，欢迎到本站社区发帖提问参与讨论，获取更多帮助，或者扫码二维码加入 Web 技术交流群。

发布评论

需要登录才能够评论，你可以免费注册一个本站的账号。

維他命╮ 2024-12-15 07:33:22

假设您有 A 和 B，它们的大小相同，您可以将所需的像素从 A 复制到 B 使用逻辑掩码 I：

B(I) = A(I);

在本例中，A 是 mypic，I 是 binarymypic 且 B 包含背景。

编辑：尝试：

mypic = imread('model1.jpg');
backgroundimage = imread('background.jpg');

% Check assumptions
assert(size(mypic,3) == 3, 'Expecting true colour foreground image')
assert(size(mypic,3) == 3, 'Expecting true colour background image')
assert(isequal(size(mypic), size(backgroundimage)), 'Images should have the same size')

mask = im2bw(rgb2gray(mypic));

in = reshape(mypic, [], 3);
out = reshape(backgroundimage, [], 3);
out(mask,1) = in(mask,1); % Red
out(mask,2) = in(mask,2); % Green
out(mask,3) = in(mask,3); % Blue

finalimage = reshape(out, size(backgroundimage));
imshow(finalimage)

Assuming you have A and B, which are the same size, you can copy the pixels you want from A to B using a logical mask I:

B(I) = A(I);

In this case, A is mypic, I is binarymypic and B contains the background.

EDIT: Try:

mypic = imread('model1.jpg');
backgroundimage = imread('background.jpg');

% Check assumptions
assert(size(mypic,3) == 3, 'Expecting true colour foreground image')
assert(size(mypic,3) == 3, 'Expecting true colour background image')
assert(isequal(size(mypic), size(backgroundimage)), 'Images should have the same size')

mask = im2bw(rgb2gray(mypic));

in = reshape(mypic, [], 3);
out = reshape(backgroundimage, [], 3);
out(mask,1) = in(mask,1); % Red
out(mask,2) = in(mask,2); % Green
out(mask,3) = in(mask,3); % Blue

finalimage = reshape(out, size(backgroundimage));
imshow(finalimage)

回复收藏 0 原文

~没有更多了~