Two ways to read TIF files in Python

In Python, reading TIFF files frame by frame (especially multi-page TIFF files) can be usedtifffilelibrary orPillowlibrary. Here are examples of two methods:

Method 1: Use tifffile to read frame by frame

tifffileIt is a library specially used to process TIFF files, and supports frame-by-frame reading of multi-page TIFF files.

Install tifffile:

pip install tifffile

Read the code frame by frame:

import tifffile

# Open TIFF filewith ('') as tif:
    # Get the total number of frames    num_frames = len()
    print(f"Total frame count: {num_frames}")

    # Read frame by frame    for i, page in enumerate():
        frame = ()  # Convert the current frame to a numpy array        print(f"frame {i + 1} Shape: {}")

        # Process frame data (for example, display or save)        # Here you can use matplotlib to display frames        import  as plt
        (frame, cmap='gray')
        (f"Frame {i + 1}")
        ()

Method 2: Use Pillow to read frame by frame

PillowIt also supports frame-by-frame reading of multi-page TIFF files, but requires manual iteration of frames.

Install Pillow:

pip install pillow

Read the code frame by frame:

from PIL import Image

# Open TIFF fileimage = ('')

# Read frame by frameframe_index = 0
while True:
    try:
        # Positioning to the current frame        (frame_index)
        print(f"frame {frame_index + 1} The size of: {}")

        # Process frame data (for example, display or save)        # Here you can use matplotlib to display frames        import  as plt
        (image, cmap='gray')
        (f"Frame {frame_index + 1}")
        ()

        frame_index += 1
    except EOFError:
        # Exit after reading all frames        print("All frames read")
        break

Method comparison

characteristic	tifffile	Pillow
Install	`pip install tifffile`	`pip install pillow`
performance	Efficient, suitable for processing large files	Slower, suitable for simple operation
Function	Supports multi-page TIFF and metadata reading	Supports multi-page TIFF, with basic functions
Output format	return`numpy`Array	returnObject
Applicable scenarios	Complex TIFF file processing	Simple TIFF file processing

Sample File

AssumptionIt is a multi-page TIFF file containing multiple frame images.

Things to note

Large file processing: If the TIFF file is large, it is recommended to use ittifffile, because it is more efficient.
Frame index:Frame index from0start.
Show frames: If you need to display frames, you can combine themmatplotlibuse.

Choose the right library and method according to your needs!

This is the end of this article about the implementation of two methods of Python reading TIF files. For more related Python reading TIF files, please search for my previous articles or continue browsing the related articles below. I hope everyone will support me in the future!