Traceback (most recent call last): File "D:/Users/yt/Desktop/yolov5-7.0/小波变换.py", line 35, in <module> denoised_image = denoise_image(image) File "D:/Users/yt/Desktop/yolov5-7.0/小波变换.py", line 19, in denoise_image denoised_image = pywt.waverec2(coeffs, wavelet) File "D:\miniconda3\envs\yt57\lib\site-packages\pywt\_multilevel.py", line 318, in waverec2 raise ValueError(( ValueError: Unexpected detail coefficient type: <class 'numpy.ndarray'>. Detail coefficients must be a 3-tuple of arrays as returned by wavedec2. If you are using pywt.array_to_coeffs or pywt.unravel_coeffs, please specify output_format='wavedec2'
时间: 2024-04-19 14:24:50 浏览: 18
非常抱歉,我之前提供的代码中仍然存在错误。这个错误是由于我在调用 `pywt.waverec2` 函数时没有正确传递分解系数。为了解决这个问题,我们需要将小波系数转换为适当的格式。
以下是修改后的代码:
```python
import os
import cv2
import pywt
import numpy as np
def denoise_image(image):
# 将图像转换为灰度图
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# 选择小波函数和层数
wavelet = 'db4'
level = 1
# 将图像进行小波分解
coeffs = pywt.wavedec2(gray, wavelet, level=level)
# 对每个分解系数进行阈值处理
threshold = np.std(coeffs[-1]) * np.sqrt(2 * np.log(np.prod(gray.shape)))
coeffs = pywt.threshold(coeffs, threshold, mode='soft', substitute=0)
# 重构图像
denoised_image = pywt.waverec2(coeffs, wavelet)
# 将图像转换回RGB格式
denoised_image = cv2.cvtColor(np.uint8(denoised_image), cv2.COLOR_GRAY2BGR)
return denoised_image
# 文件夹路径
folder_path = 'path/to/folder'
# 遍历文件夹中的所有tif图片
for filename in os.listdir(folder_path):
if filename.endswith('.tif'):
# 读取图片
image_path = os.path.join(folder_path, filename)
image = cv2.imread(image_path)
# 降噪处理
coeffs = pywt.wavedec2(image, wavelet='db4', level=1)
threshold = np.std(coeffs[-1]) * np.sqrt(2 * np.log(np.prod(image.shape)))
coeffs = [coeffs[0]] + [pywt.threshold(c, threshold) for c in coeffs[1:]]
denoised_image = pywt.waverec2(coeffs, wavelet='db4')
# 将图像转换回RGB格式
denoised_image = cv2.cvtColor(np.uint8(denoised_image), cv2.COLOR_GRAY2BGR)
# 保存处理后的图像
output_path = os.path.join(folder_path, 'denoised_' + filename)
cv2.imwrite(output_path, denoised_image)
```
在修改后的代码中,我们直接在循环中进行小波分解和重构,并在每次循环中对图像进行阈值处理。
请确保将代码中的 `'path/to/folder'` 替换为实际的文件夹路径。
希望这次修改能解决问题。如果还有其他问题,请随时提问。