【python图像处理】单张图像拼接与批量图片拼接

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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 cv2
import numpy as np

path="F:/out/"+str(0)+".jpg"
img_out=cv2.imread(path)

num=5
for 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 cv2
import numpy as np
import glob as glob
import os

num=5
os.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)