如何在Python中从图像中删除空格? [英] How to remove whitespace from an image in Python?

问题描述

我有一组从代码输出的图像，并且我希望能够删除图像中所有多余的空白，以便将图像缩小为仅图像中的文本.这是相关的代码:

I have a set of images that are output from a code, and I want to be able to remove all of the excess whitespace within the image so that it reduces the image to only the text within the image. This is the pertinent code:

from PIL import Image, ImageFont, ImageDraw, ImageChops
from docx import Document
import textwrap
import re

doc = Document('Patents.docx')
docText = ''.join(paragraph.text for paragraph in doc.paragraphs)


def trim(im, color):
    bg = Image.new(im.mode, im.size, color)
    diff = ImageChops.difference(im, bg)
    diff = ImageChops.add(diff, diff)
    bbox = diff.getbbox()
    if bbox:
        return im.crop(bbox)


for match in find_matches(text=docText, keywords=("responsive", "detecting", "providing")):
    W, H = 300, 300
    body = Image.new('RGB', (W, H), (255, 255, 255))
    border = Image.new('RGB', (W + 4, H + 4), (0, 0, 0))
    border.save('border.png')
    body.save('body.png')
    patent = Image.open('border.png')
    patent.paste(body, (2, 2))
    draw = ImageDraw.Draw(patent)
    font = ImageFont.load_default()

    current_h, pad = 100, 20

    for key in textwrap.wrap(match, width=45):
        line = key.encode('utf-8')
        # (width, height) = font.getsize(line)
        # patent.resize((width, height), resample=0, box=None)
        w, h = draw.textsize(line, font=font)
        draw.text(((W - w) / 2, current_h), line, (0, 0, 0), font=font)
        current_h += h + pad
    for count, matches in enumerate(match):
        patent.save(f'{match}.png')
        patentCrop = trim(patent, 255)
        patentCrop.save(f'{match}_new.png')

这是我构建的代码的4个输出中的2个(每个框是其自己的输出):

Here are the 2 of the 4 outputs from the code that I've constructed (each box is its own output):

我想保留边框，但是很明显我总是不能使用边框然后裁剪图像然后添加边框，但是无论如何，我都需要帮助来删除空白.如我的代码所示，我正在使用修剪功能，但是由于某种原因，它似乎都无法正常工作.如果有任何解决方案，无论是对我的函数的修复还是完全不同的方法，我都非常感谢您的帮助.当然，以下是我要完成的工作:每个框都是其自己的输出:

I would like to keep the border, but obviously I can always not use the border and then crop the image and then add the border, but at any rate, I need help removing the whitespace. As shown in my code, I'm using a trim function, however it doesn't seem to be working for whatever reason. If there's any solution, be it a fix to my function or an entirely different method, I'd really appreciate the help. The following is what I'm trying to accomplish, of course, each box being its own output:

推荐答案

我想这就是您想要的-一种双哑面环绕:

I think this is what you want - a kind of double-matted surround:

#!/usr/bin/env python3

from PIL import Image, ImageDraw, ImageOps

# Open input image
im = Image.open('zHZB9.png')

# Get rid of existing black border by flood-filling with white from top-left corner
ImageDraw.floodfill(im,xy=(0,0),value=(255,255,255),thresh=10)

# Get bounding box of text and trim to it
bbox = ImageOps.invert(im).getbbox()
trimmed = im.crop(bbox)

# Add new white border, then new black, then new white border
res = ImageOps.expand(trimmed, border=10, fill=(255,255,255))
res = ImageOps.expand(res, border=5, fill=(0,0,0))
res = ImageOps.expand(res, border=5, fill=(255,255,255))
res.save('result.png')

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