python删除边框_python 删除图片外边框

# encoding: utf-8
# author: qbit
# date: 2020-06-15
# summary: 去除图片纯色边框
import shutil
from PIL import Image, ImageChops
Image.MAX_IMAGE_PIXELS = 10000000000
import numpy as np
def TrimImgEdge(inImgPath, outImgPath):
    r"""
    去除图片边框
    inImgPath: 输入图片路径
    outImgPath: 输出图片路径
    """
    print(f'TrimImgEdge {inImgPath} ...')
    imgIn = Image.open(inImgPath)
    # 创建一个边框颜色图片
    bg = Image.new(imgIn.mode, imgIn.size, imgIn.getpixel((0, 0)))
    diff = ImageChops.difference(imgIn, bg)
    # diff = ImageChops.add(diff, diff, 2.0, -10) # 可选，会去的更干净，副作用是误伤
    bbox = diff.getbbox()   # 返回左上角和右下角的坐标 (left, upper, right, lower)
    if bbox:
        imgIn.crop(bbox).save(outImgPath, quality=95)
    else:
        shutil.copyfile(inImgPath, outImgPath)
if __name__ == "__main__":
     TrimImgEdge('IR_3000.png', 'IR_3000(new).png')
   

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29

# encoding: utf-8
# author: qbit
# date: 2020-09-2
# summary: 给宽图片上下补白边，让其满足一定比例，然后缩放到指定尺寸

import math
from PIL import Image
Image.MAX_IMAGE_PIXELS = 10000000000
def add_white_edge(inImgPath, outImgPath, width, height):
    r"""
    给宽图片上下补白边，让其满足一定比例，然后缩放到指定尺寸
    inImgPath: 输入图片路径
    outImgPath: 输出图片路径
    width: 最终宽度
    height: 最终高度
    """
    print(f'{inImgPath}')
    inImg: Image.Image = Image.open(inImgPath)
    bgWidth = inImg.width
    bgHeight = inImg.height
    if bgWidth > bgHeight:
        bgHeight = math.ceil((bgWidth * height) / width)

    # 创建一个白色背景图片
    bgImg: Image.Image = Image.new("RGB", (bgWidth, bgHeight), (255, 255, 255))
    bgImg.paste(inImg, (0, round((bgHeight - inImg.height) / 2)))

    bgImg.resize((width, height), Image.LANCZOS).save(outImgPath)

if __name__ == "__main__":

    add_white_edge('IR_3000(new).png', 'IR_3000_4.png', 46170, 23085)

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33