The RGB images have three color channels (24-bit image), but the grayscale image had only a single grayscale image (8-bit image). In our previous experiment, we normalized the images of the pre- trained network by each color channel separately. This approach lost the information provided by the other two channels. Here, we used the same grayscale LDCT image for each channel to make it somewhat analogous to an RGB image for the CNN. Doing so engages all the weights and exploits all the learned knowledge when extracting features from the pretrained net- work. Since the images experimented with were smaller than the required input size of the pretrained CNN (224 × 224), we used bicubic interpolation for resizing. The dimension of a deep feature vector extracted for each image was 4096. The features were the output of the last fully connected layer (the full 2 layer as shown in Table 2) before the output layer in an ImageNet pretrained CNN. The architectures and para 解释
时间: 2024-02-19 14:01:51 浏览: 38
这段话主要是关于一个实验中的图像处理和深度学习网络的使用。该实验中使用了一个预训练的卷积神经网络(CNN)来提取图像的特征,以用于后续的任务。由于原始图像是RGB图像,而预训练网络是对彩色图像进行训练的,因此将灰度图像复制三份,以便处理成类似于RGB图像的形式,以便充分利用预训练网络的知识。因为图像的大小比预训练网络的输入大小要小,所以使用了双三次插值的方法进行图像的缩放。最后,提取了每个图像的深度特征向量,其维度为4096,这些特征是在ImageNet预训练CNN的输出层之前的最后一个全连接层(即表2中的完整2层)的输出结果。
相关问题
Only 8-bit grayscale or color images are supported:
This error message indicates that the system or software you are using only supports 8-bit grayscale or color images. This means that images with higher color depths, such as 16-bit or 32-bit color, may not be compatible with the system or software. To resolve this issue, you may need to convert your images to the supported color depth or find a different system or software that can handle higher color depths.
Only 8-bit grayscale or color images are supported怎么解决?
这个错误通常是由于图像的格式不被支持所导致的。你可以尝试将图像转换为支持的格式,例如使用Pillow库中的`convert`函数来将图像转换为8位灰度或彩色图像。以下是一个例子:
```python
from PIL import Image
# 打开图像
img = Image.open('image.png')
# 将图像转换为8位灰度或彩色图像
img = img.convert('L') # 转换为8位灰度图像
# 或者
img = img.convert('RGB') # 转换为24位彩色图像
# 处理图像
...
# 保存图像
img.save('processed_image.png')
```
如果你的图像格式本身就支持8位灰度或彩色,那么可能需要检查一下你的代码是否正确读取了图像。
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