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