42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
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# -*- coding:utf-8 -*-
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# @Author len
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# @Create 2023/11/22 16:30
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import cv2
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import numpy as np
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def get_color_threshold(image_path, color):
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# 加载图像
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image = cv2.imread(image_path)
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# 将图像转换为LAB颜色空间
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lab_image = cv2.cvtColor(image, cv2.COLOR_BGR2LAB)
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# 根据不同的颜色选择相应的阈值
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if color == "red":
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lower_threshold = np.array([0, 127, 127])
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upper_threshold = np.array([30, 255, 255])
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elif color == "green":
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lower_threshold = np.array([30, -8, -32])
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upper_threshold = np.array([100, 64, 32])
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elif color == "blue":
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lower_threshold = np.array([0, 0, -128])
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upper_threshold = np.array([30, 64, -20])
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else:
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raise ValueError("Invalid color")
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# 应用阈值，获取掩码
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mask = cv2.inRange(lab_image, lower_threshold, upper_threshold)
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# 返回阈值掩码
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return mask
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# 示例用法
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image_path = "data/congche_hld_3.jpg" # 替换为您的图像路径
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color = "green" # 替换为您想要获取阈值的颜色
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threshold_mask = get_color_threshold(image_path, color)
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# 显示阈值图像
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cv2.imshow("Threshold", threshold_mask)
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cv2.waitKey(0)
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cv2.destroyAllWindows()
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