图像仿射变换Opencv实现

LittroInno2024-02-27 9:19

python 复制代码

import cv2
import numpy as np

# 读取图像
image = cv2.imread('input_image.jpg')

# 图像宽度和高度
height, width = image.shape[:2]

# 旋转
angle = 45
rotation_matrix = cv2.getRotationMatrix2D((width/2, height/2), angle, 1)
rotated_image = cv2.warpAffine(image, rotation_matrix, (width, height))

# 平移
x_translation = 100
y_translation = 50
translation_matrix = np.float32([[1, 0, x_translation], [0, 1, y_translation]])
translated_image = cv2.warpAffine(image, translation_matrix, (width, height))

# 缩放
scale_factor = 0.5
scaled_image = cv2.resize(image, None, fx=scale_factor, fy=scale_factor, interpolation=cv2.INTER_LINEAR)

# 错切
shear_matrix = np.float32([[1, 0.5, 0], [0.5, 1, 0]])
sheared_image = cv2.warpAffine(image, shear_matrix, (width, height))

# 显示结果
cv2.imshow('Original Image', image)
cv2.imshow('Rotated Image', rotated_image)
cv2.imshow('Translated Image', translated_image)
cv2.imshow('Scaled Image', scaled_image)
cv2.imshow('Sheared Image', sheared_image)

# 等待按键
cv2.waitKey(0)
cv2.destroyAllWindows()

这段代码演示了如何对图像进行旋转、平移、缩放和错切等仿射变换，并使用 OpenCV 库进行实现。请确保将 input_image.jpg 替换为您要处理的图像文件名。