本文实例为大家分享了python实现图像拼接的具体代码，供大家参考，具体内容如下

一、效果

二、代码

1、单张图片拼接

# 图片拼接from PIL import Image# pil paste可以进行图片拼接import cv2import numpy as nppath="F:/out/"+str(0)+".jpg"img_out=cv2.imread(path)num=5for i in range(1,num): path="F:/out/"+str(i)+".jpg" img_tmp=cv2.imread(path) #横向 img_out = np.concatenate((img_out, img_tmp), axis=1) # 纵向 # img_out = np.concatenate((img_out, img_tmp))cv2.imshow("IMG",img_out)cv2.imwrite("F:/out/merge.jpg",img_out)cv2.waitKey(0)

2、批量图片拼接

# 图片拼接from PIL import Image# pil paste可以进行图片拼接import cv2import numpy as npimport glob as globimport osnum=5os.chdir(r"F:\out")img_name=[]for file_name in glob.glob("*.jpg"): print(file_name) img_name.append(file_name)# 批量处理图片img_path = glob.glob("F:/out/*jpg")for i in range(int(len(img_path)/num)): path = img_path[i*num] print(path) img_out = cv2.imread(path) for j in range(1, num): path = img_path[i*num+j] img_tmp = cv2.imread(path) # 横向 img_out = np.concatenate((img_out, img_tmp), axis=1) # cv2.imshow("IMG", img_out) cv2.imwrite("F:/out/"+img_name[i*num+j][0:-6]+"_out.jpg", img_out)

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持python博客