45 lines
1023 B
Python
45 lines
1023 B
Python
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# -*- coding:utf-8 -*-
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# @Author len
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# @Create 2023/10/22 15:25
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import cv2
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import numpy as np
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# 读取二维码图像文件
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image_path = 'data/blue.jpg'
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image = cv2.imread(image_path)
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height, width, _ = image.shape
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center_x = width // 2
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center_y = height // 2
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quarter_width = width // 4
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quarter_height = height // 4
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roi_x = center_x - quarter_width
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roi_y = center_y - quarter_height
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roi_width = quarter_width * 2
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roi_height = quarter_height * 2
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roi = image[roi_y:roi_y+roi_height, roi_x:roi_x+roi_width]
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# 膨胀操作
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kernel = np.ones((3, 3), np.uint8)
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dilated = cv2.erode(image, kernel, iterations=1)
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# 将图像转换为HSV颜色空间
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hsv = cv2.cvtColor(dilated, cv2.COLOR_BGR2HSV)
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# 计算膨胀后图像的HSV平均值
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h_mean, s_mean, v_mean = cv2.mean(dilated)[:3]
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print("HSV Average Values:")
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print("Hue (H):", h_mean)
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print("Saturation (S):", s_mean)
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print("Value (V):", v_mean)
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cv2.imshow('Image', image)
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cv2.imshow('roi', roi)
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cv2.imshow('hsv', hsv)
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cv2.imshow('Dilated Image', dilated)
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cv2.waitKey(0)
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