Python binary images with

How can I write a binary array as an image in Python?

I have an array of binary numbers in Python:,Thanks for contributing an answer to Stack Overflow!, Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers , Stack Overflow Public questions & answers

You can use Image.new with 1 mode and put each integer as pixel in your initial image:

>>> from PIL import Image >>> import random >>> data = [random.choice((0, 1)) for _ in range(2500)] >>> data[:] = [data[i:i + 50] for i in range(0, 2500, 50)] >>> print data [[0, 1, 0, 0, 1, . ], [0, 1, 1, 0, 1, . ], [1, 1, 0, 1, . ], . ] >>> img = Image.new('1', (50, 50)) >>> pixels = img.load() >>> for i in range(img.size[0]): . for j in range(img.size[1]): . pixels[i, j] = data[i][j] >>> img.show() >>> img.save('/tmp/image.bmp') 

Answer by Addison Glover

I have an array of binary numbers in Python:,In case you have binary data in this format — b’\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00. then you may use this method to write it as an image file:,I would like to take this data out and save it as a bitmap, with a ‘0’ corresponding to white and a ‘1’ corresponding to black. I know that there are 2500 numbers in the array, corresponding to a 50×50 bitmap. I’ve downloaded and installed PIL, but I’m not sure how to use it for this purpose. How can I convert this array into the corresponding image?,You can use Image.new with 1 mode and put each integer as pixel in your initial image:

I have an array of binary numbers in Python:

data = [0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1. ] 

Answer by Diana Gilbert

img=cv2.imread('') gray_img=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

Answer by Calvin Yu

OpenCV makes it very easy to read an image into memory and represent it as a Numpy array. Having a Numpy array makes it easy to manipulate the image as various mathematical matrix transformations. , How can one save the image to disk and how can one create a binary object of it in memory. , Then we make some simple manipulation, drawing a rectangle in the middle. We only use the fact that it is a Numpy array when extract the shape of the image. We could have done other manipulations that don’t have an implementation in OpenCV. , Then we save the image as another file using imwrite.

examples/python/opencv_read_image.py

import cv2 as cv import sys if len(sys.argv) != 2: exit(f"Usage: FILENAME") filename = sys.argv[1] img = cv.imread(filename) print(type(img)) # numpy.array 

examples/python/opencv_read_write_image.py

import cv2 as cv import sys import io if len(sys.argv) != 3: exit(f"Usage: IN_FILENAME OUT_FILENAME") in_filename = sys.argv[1] out_filename = sys.argv[2] img = cv.imread(in_filename) print(type(img)) # numpy.array print(img.shape) # Draw a rectangle in the middle in some color: y_top = img.shape[0] // 4 x_top = img.shape[1] // 4 y_bottom = img.shape[0] - y_top x_bottom = img.shape[1] - x_top blue = 80 green = 70 red = 90 cv.rectangle(img, (x_top, y_top), (x_bottom, y_bottom), color=(blue, green , red), thickness=2) # save the image to a file on the disk cv.imwrite(out_filename, img) # Convert the numpy array to a binary object in memory def numpy_to_binary(arr): is_success, buffer = cv.imencode(".jpg", arr) io_buf = io.BytesIO(buffer) print(type(io_buf)) return io_buf.read() binary_image = numpy_to_binary(img) print(type(binary_image)) # bytes 

Answer by Amaris Duncan

I have an array of binary numbers in Python:,The numpy and matplotlib way of doing it would be:,I would like to take this data out and save it as a bitmap, with a ‘0’ corresponding to white and a ‘1’ corresponding to black. I know that there are 2500 numbers in the array, corresponding to a 50×50 bitmap. I’ve downloaded and installed PIL, but I’m not sure how to use it for this purpose. How can I convert this array into the corresponding image?,This is my value converter used to bind a Byte array to an Image…

I have an array of binary numbers in Python:

data = [0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 1. ] 

Answer by Aleena Duncan

The Python Imaging Library (PIL) provides general image handling and lots of useful basic image operations like resizing, cropping, rotating, color conversion and much more. PIL is free and available from http://www.pythonware.com/products/pil/.,Figure 1-3. Examples of visualizing image contours and plotting image histograms with Matplotlib.,Figure 1-2. Examples of plotting with Matplotlib. An image with points and a line with and without showing the axes.,which describes how strong the image intensity change is, and the gradient angle

from PIL import Image pil_im = Image.open('empire.jpg')

pil_im = Image.open('empire.jpg').convert('L')

from PIL import Image import os for infile in filelist: outfile = os.path.splitext(infile)[0] + ".jpg" if infile != outfile: try: Image.open(infile).save(outfile) except IOError: print "cannot convert", infile

import os def get_imlist(path): """ Returns a list of filenames for all jpg images in a directory. """ return [os.path.join(path,f) for f in os.listdir(path) if f.endswith('.jpg')]

box = (100,100,400,400) region = pil_im.crop(box)

region = region.transpose(Image.ROTATE_180) pil_im.paste(region,box)

Answer by Melanie Bryan

It’s a useful image manipulation tool, but it seems to have some bugs when reading or writing binary data.,Pillow is a fork of PIL.,This Python notebook is to serve as a guide to working around issues in pillow.,Then you need to convert using the Image.convert(mode) method to binary before saving.

 In [1]: #For data manipulations %pylab inline from IPython.display import set_matplotlib_formats from io import BytesIO import numpy as np #to compare to scipy's builtin conversions from scipy.misc import imsave, toimage #import pillow from PIL import Image set_cmap('Greys') 

#For data manipulations %pylab inline from IPython.display import set_matplotlib_formats from io import BytesIO import numpy as np #to compare to scipy's builtin conversions from scipy.misc import imsave, toimage #import pillow from PIL import Image set_cmap('Greys') 

  
In [1]:
 
 
 
#For data manipulations %pylab inline from IPython.display import set_matplotlib_formats from io import BytesIO import numpy as np #to compare to scipy's builtin conversions from scipy.misc import imsave, toimage #import pillow from PIL import Image set_cmap('Greys') 
 
 Populating the interactive namespace from numpy and matplotlib
 
Populating the interactive namespace from numpy and matplotlib 
 
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Convert image to binary image using Python:
 
 
Binary images are those images whose pixels have only exact two colors usually white and black. In this article, we will convert image to binary image using Python. Binary images are also called monochronic or bi-level or two-level. Every pixel of the binary image is stored as one bit i.e. 0 or 1.
 
To work with images we need a library OpenCV. To install this library use the following command.
 
After installing the openCV library we can use it in our code. In the following code, we will read an image from a specified path then we will convert image to binary image in python.
 
import cv2 # specify the image path img = cv2.imread('E:\Logo2.png', 2) ret, bw_img = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY) # converting to its binary form bw = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY) cv2.imshow("Binary", bw_img) cv2.waitKey(0) cv2.destroyAllWindows()
 
 
Code explanation:
 
 
First import the openCV library in your code.
 
Then specify the image location i.e. the location of image in your computer with image name and extension using cv2.imread() method.
 
Then specify the threshold mark, pixels above the given mark will turn white, and below the mark will turn black.
 
To show the saved image use cv2.imshow() method.
 
 
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