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【Python OpenCV】使用OpenCV实现两张图片拼接

2025/5/2 0:02:45 来源:https://blog.csdn.net/qq_42761751/article/details/141262357  浏览:    关键词:【Python OpenCV】使用OpenCV实现两张图片拼接

问题引入:

如何使用Python OpenCV实现两张图片的水平拼接和垂直拼接

代码实现:

import cv2
import numpy as npdef image_hstack(image_path_1, image_path_2):"""两张图片左右拼接"""img1 = cv2.imread(image_path_1)img2 = cv2.imread(image_path_2)img1_shape = img1.shapeimg2_shape = img2.shapeif img1_shape[0] != img2_shape[0]:if img1_shape[0] > img2_shape[0]:# 如果img1高度大于img2,在img2的上下添加边框img2 = cv2.copyMakeBorder(img2, 0, img1_shape[0] - img2_shape[0], 0, 0, cv2.BORDER_CONSTANT, value=[0, 0, 0])else:# 如果img2高度大于img1,在img1的上下添加边框img1 = cv2.copyMakeBorder(img1, 0, img2_shape[0] - img1_shape[0], 0, 0, cv2.BORDER_CONSTANT, value=[0, 0, 0])new_image = np.hstack((img1, img2))return new_imagedef image_vstack(image_path_1, image_path_2):"""两张图片上下拼接"""img1 = cv2.imread(image_path_1)img2 = cv2.imread(image_path_2)img1_shape = img1.shapeimg2_shape = img2.shapeif img1_shape[1] != img2_shape[1]:if img1_shape[1] > img2_shape[1]:# 如果img1宽度大于img2,在img2的左右添加边框img2 = cv2.copyMakeBorder(img2, 0, 0, 0, img1_shape[1] - img2_shape[1], cv2.BORDER_CONSTANT, value=[0, 0, 0])else:# 如果img2宽度大于img1,在img1的左右添加边框img1 = cv2.copyMakeBorder(img1, 0, 0, 0, img2_shape[1] - img1_shape[1], cv2.BORDER_CONSTANT, value=[0, 0, 0])new_image = np.vstack((img1, img2))return new_imageif __name__ == "__main__":image_path_1 = r"F:\400026.jpg"image_path_2 = r"F:\2.jpg"# new_image = image_hstack(image_path_1, image_path_2)new_image = image_vstack(image_path_1, image_path_2)# cv2.imshow("res", new_image)# cv2.waitKey(0)cv2.imwrite("image_concate.jpg",new_image)

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