50 lines
1.1 KiB
Python
50 lines
1.1 KiB
Python
# -*- coding: utf-8 -*-
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# @Time : 2024/10/16 上午9:57
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# @Author : len
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# @File : 004.py
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# @Software: PyCharm
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# @Comment :
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import cv2
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import numpy as np
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import matplotlib.pyplot as plt
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# 加载图片
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image_path = '../data/img_2.png'
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image = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)
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# 1. 使用高斯模糊来减少噪声 (可选)
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blurred = cv2.GaussianBlur(image, (3, 3), 0)
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# 2. 使用拉普拉斯滤波进行图像锐化
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laplacian = cv2.Laplacian(blurred, cv2.CV_64F)
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sharpened_laplacian = np.uint8(np.absolute(laplacian))
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# 3. 使用自定义锐化卷积核进行卷积操作
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# 自定义卷积核，用于锐化
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kernel = np.array([[0, -1, 0],
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[-1, 5,-1],
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[0, -1, 0]])
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sharpened_kernel = cv2.filter2D(blurred, -1, kernel)
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# 显示结果
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plt.figure(figsize=(10, 5))
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plt.subplot(1, 3, 1)
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plt.title('Original Image')
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plt.imshow(image, cmap='gray')
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plt.axis('off')
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plt.subplot(1, 3, 2)
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plt.title('Laplacian Sharpened')
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plt.imshow(sharpened_laplacian, cmap='gray')
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plt.axis('off')
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plt.subplot(1, 3, 3)
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plt.title('Kernel Sharpened')
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plt.imshow(sharpened_kernel, cmap='gray')
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plt.axis('off')
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plt.tight_layout()
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plt.show()
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