How to use Python to perform pixel filling on pictures
Introduction:
In image processing, pixel filling is a common technique used to change the pixel values, thereby modifying and enhancing the image. As a powerful programming language, Python also has rich libraries and tools for image processing. This article will introduce how to use Python to fill pixels in images and provide code examples.
- Import the necessary libraries
Before we begin, we need to import the PIL library, which is one of the libraries commonly used in Python image processing. By using PIL library we can easily read, modify and save images.
from PIL import Image
- Open the image file
Use theopen()
function of the PIL library to open the image file and assign it to a variable for subsequent processing. .
image = Image.open('image.jpg')
- Get image information
Through thesize
attribute of the PIL library, we can get the width and height of the image and print it out.
width, height = image.size print('图像宽度:%d,图像高度:%d' % (width, height))
- Create a new image
Next, we create a new image object and set its size to be the same as the original image.
new_image = Image.new('RGB', (width, height))
- Get the pixel data of the original image
Use theload()
method of the PIL library to get the pixel data of the original image and save it to a list.
pixels = image.load()
- Fill each pixel
By traversing each pixel of the original image, we can fill it. In this example, we perform a simple color fill on each pixel, setting its RGB values to red, green, and blue respectively.
for i in range(width): for j in range(height): new_image.putpixel((i, j), (255, 0, 0)) # 红色填充
- Save New Image
Finally, we save the filled image to a new file.
new_image.save('new_image.jpg')
Complete code:
from PIL import Image image = Image.open('image.jpg') width, height = image.size print('图像宽度:%d,图像高度:%d' % (width, height)) new_image = Image.new('RGB', (width, height)) pixels = image.load() for i in range(width): for j in range(height): new_image.putpixel((i, j), (255, 0, 0)) # 红色填充 new_image.save('new_image.jpg')
Conclusion:
Through the above steps, we have learned how to use Python to fill pixels in images. In fact, during the pixel filling process, we can perform various processing on the image according to our needs to achieve different effects. I hope this article will be helpful to your learning and practice in image processing.
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