23 lines
811 B
Python
23 lines
811 B
Python
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import cv2
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import numpy as np
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import os
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NOISE_THRESHOLD = int(os.getenv("NOISE_THRESHOLD", "10")) # 示例阈值，单位为噪声的标准差
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def pre_process(image):
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if len(image.shape) == 3: # 如果是彩色图像 (具有三个通道)
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gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
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else:
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gray = image
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# 噪声水平估计（简单地使用标准差作为代理）
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noise_level = np.std(gray) # 在灰度图像上评估噪声水平
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if noise_level > NOISE_THRESHOLD:
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if len(image.shape) == 3: # 如果是彩色图像
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processed_img = cv2.fastNlMeansDenoisingColored(image)
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else: # 如果是灰度图像
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processed_img = cv2.fastNlMeansDenoising(image)
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else:
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processed_img = image
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return processed_img
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