本文目录导读：
我来介绍几种使用Pillow拼接图片的方法：
水平拼接（横向拼接）
from PIL import Image
import os
def horizontal_concat(images_path, output_path="result_horizontal.jpg"):
"""水平拼接多张图片"""
images = []
# 读取所有图片
for path in images_path:
img = Image.open(path)
images.append(img)
# 计算总宽度和最大高度
total_width = sum(img.width for img in images)
max_height = max(img.height for img in images)
# 创建新画布
new_image = Image.new('RGB', (total_width, max_height), (255, 255, 255))
# 粘贴图片
x_offset = 0
for img in images:
new_image.paste(img, (x_offset, 0))
x_offset += img.width
new_image.save(output_path)
return new_image
# 使用示例
images = ["image1.jpg", "image2.jpg", "image3.jpg"]
horizontal_concat(images)
垂直拼接（纵向拼接）
def vertical_concat(images_path, output_path="result_vertical.jpg"):
"""垂直拼接多张图片"""
images = []
for path in images_path:
img = Image.open(path)
images.append(img)
# 计算最大宽度和总高度
max_width = max(img.width for img in images)
total_height = sum(img.height for img in images)
# 创建新画布
new_image = Image.new('RGB', (max_width, total_height), (255, 255, 255))
# 粘贴图片
y_offset = 0
for img in images:
# 水平居中
x_offset = (max_width - img.width) // 2
new_image.paste(img, (x_offset, y_offset))
y_offset += img.height
new_image.save(output_path)
return new_image
# 使用示例
images = ["image1.jpg", "image2.jpg", "image3.jpg"]
vertical_concat(images)
网格拼接（矩阵排列）
def grid_concat(images_path, cols=3, output_path="result_grid.jpg"):
"""网格拼接多张图片"""
images = [Image.open(path) for path in images_path]
# 获取图片尺寸（取最大尺寸）
widths = [img.width for img in images]
heights = [img.height for img in images]
# 计算每个单元格的尺寸
cell_width = max(widths)
cell_height = max(heights)
# 计算行数
rows = (len(images) + cols - 1) // cols
# 创建新画布
new_image = Image.new('RGB',
(cell_width * cols, cell_height * rows),
(255, 255, 255))
# 粘贴图片
for i, img in enumerate(images):
row = i // cols
col = i % cols
# 计算位置
x = col * cell_width + (cell_width - img.width) // 2
y = row * cell_height + (cell_height - img.height) // 2
new_image.paste(img, (x, y))
new_image.save(output_path)
return new_image
# 使用示例
images = ["image1.jpg", "image2.jpg", "image3.jpg", "image4.jpg"]
grid_concat(images, cols=2) # 2列网格
自动拼接（包含调整大小）
def auto_concat(images_path, direction='horizontal',
resize=None, padding=10, output_path="result.jpg"):
"""
自动拼接图片，可选择调整大小和添加间距
参数:
- direction: 'horizontal' 或 'vertical'
- resize: 统一尺寸，如 (300, 200)
- padding: 图片间距
"""
images = []
for path in images_path:
img = Image.open(path)
# 调整大小
if resize:
img = img.resize(resize, Image.Resampling.LANCZOS)
images.append(img)
if direction == 'horizontal':
# 水平拼接
total_width = sum(img.width for img in images) + padding * (len(images) - 1)
max_height = max(img.height for img in images)
new_image = Image.new('RGB', (total_width, max_height), (255, 255, 255))
x_offset = 0
for img in images:
y_offset = (max_height - img.height) // 2
new_image.paste(img, (x_offset, y_offset))
x_offset += img.width + padding
else:
# 垂直拼接
max_width = max(img.width for img in images)
total_height = sum(img.height for img in images) + padding * (len(images) - 1)
new_image = Image.new('RGB', (max_width, total_height), (255, 255, 255))
y_offset = 0
for img in images:
x_offset = (max_width - img.width) // 2
new_image.paste(img, (x_offset, y_offset))
y_offset += img.height + padding
new_image.save(output_path)
return new_image
# 使用示例
auto_concat(["img1.jpg", "img2.jpg"],
direction='horizontal',
resize=(400, 300),
padding=20)
批量文件夹图片拼接
def batch_concat_from_folder(folder_path, output_path="batch_result.jpg"):
"""从文件夹读取图片并拼接"""
# 获取所有图片文件
image_extensions = ['.jpg', '.jpeg', '.png', '.bmp', '.gif']
images_path = []
for file in os.listdir(folder_path):
ext = os.path.splitext(file)[1].lower()
if ext in image_extensions:
images_path.append(os.path.join(folder_path, file))
# 按文件名排序
images_path.sort()
if not images_path:
print("未找到图片文件")
return None
# 拼接
return grid_concat(images_path, cols=3, output_path=output_path)
# 使用示例
batch_concat_from_folder("./images_folder")
的拼接
from PIL import Image, ImageDraw, ImageFont
def concat_with_titles(images_path, titles, output_path="titled_concat.jpg"):
"""带标题的图片拼接"""
# 读取并调整图片
images = []
for path in images_path:
img = Image.open(path)
img = img.resize((300, 200))
images.append(img)
# 创建标题图片height = 40images = []
for title in titles:
title_img = Image.new('RGB', (300, title_height), (240, 240, 240))
draw = ImageDraw.Draw(title_img)
# 尝试使用中文字体，如果失败则使用默认字体
try:
font = ImageFont.truetype("simhei.ttf", 20)
except:
font = ImageFont.load_default()
# 居中显示文字
bbox = draw.textbbox((0, 0), title, font=font)
text_width = bbox[2] - bbox[0]
text_height = bbox[3] - bbox[1]
x = (300 - text_width) // 2
y = (title_height - text_height) // 2
draw.text((x, y), title, fill='black', font=font)
title_images.append(title_img)
# 垂直拼接（每个图片带标题）
final_height = sum(img.height + title_img.height
for img, title_img in zip(images, title_images))
max_width = max(img.width for img in images)
new_image = Image.new('RGB', (max_width, final_height), (255, 255, 255))
y_offset = 0
for img, title_img in zip(images, title_images):
new_image.paste(title_img, (0, y_offset))
y_offset += title_img.height
x_offset = (max_width - img.width) // 2
new_image.paste(img, (x_offset, y_offset))
y_offset += img.height
new_image.save(output_path)
return new_image
# 使用示例
images = ["img1.jpg", "img2.jpg", "img3.jpg"]s = ["图片1", "图片2", "图片3"]
concat_with_titles(images, titles)
使用建议
- 图片格式：建议统一使用同一种格式（如JPG或PNG）
- 尺寸处理：如果图片尺寸差异大，建议先调整大小
- 内存管理：大量图片时注意释放内存
- 错误处理：添加try-except处理图片读取错误
这些方法可以满足大部分图片拼接需求,根据具体情况选择合适的方法。
