由于白色背景，将高斯噪音添加到图像中来发出问题

发布于 2025-02-10 17:36:30 字数 667 浏览 2 评论 0原文

我正在使用弹丸向我的图像播放一些随机噪声以执行数据增强，但是当我这样做时，我会在白色背景中添加噪音。我如何从计算中排除背景？

以下代码线用于高斯噪声，

def save_noisy_image(img, name):
    img = img.view(img.size(0), 3, 180, 180)
    save_image(img, name)

def gaussian_noise():
    for data in dataloader:
        newuuid = str(uuid.uuid4())
        img, _ = data['image'], data['labels']
        gauss_img = torch.tensor(random_noise(img, mode='gaussian', mean=0, var=0.05, clip=True))
        save_noisy_image(gauss_img, "/tmp/tests/"+newuuid+".png")  
        break

gaussian_noise()

这是结果的一个示例 image

原文

I am using skimage to perfom some random noise to my images in order to perform data augmentation, but while im doing it im adding noise to the white background. How could I exclude the background from the computation?

The following lines of code are used for gaussian noise

def save_noisy_image(img, name):
    img = img.view(img.size(0), 3, 180, 180)
    save_image(img, name)

def gaussian_noise():
    for data in dataloader:
        newuuid = str(uuid.uuid4())
        img, _ = data['image'], data['labels']
        gauss_img = torch.tensor(random_noise(img, mode='gaussian', mean=0, var=0.05, clip=True))
        save_noisy_image(gauss_img, "/tmp/tests/"+newuuid+".png")  
        break

gaussian_noise()

Here is an example of a result
image

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