Image Processing with QccPack and Python
Python, xv and the PIL package are essential for Python image processing programming. Run these commands to build PIL in Linux:
python setup.py build_ext -i python selftest.py
The most important class in the Python Imaging Library is the Image class, defined in the module with the same name. We create instances of this class in several ways: by loading images from files, processing other images or creating images from scratch.
To load an image from a file, use the open function in the Image module:
>>> import Image >>> im = Image. open ("lenna.ppm")
The Python Imaging Library supports a wide variety of image file formats. The library automatically determines the format based on the contents of the file or the extension.
Listing 1. Convert Files to JPEG
import os, sys import Image for infile in sys.argv[1:]: outfile = os.path.splitext(infile) + ".jpg" if infile != outfile: try: Image.open(infile).save(outfile) except IOError: print "cannot convert", infile
The next example (Listing 2) shows how the Image class contains methods to resize and rotate an image.
Listing 2. Simple Geometry Transforms
out = im.resize((128, 128)) out = im.rotate(45) out = im.transpose(Image.ROTATE_90)
The Python Imaging Library allows you to convert images between different pixel representations using the convert function—for example, converting between modes:
im = Image.open("lenna.ppm").convert ("L")
The library supports transformations between each supported mode and the L and RGB modes. To convert between other modes, you may have to use an intermediate image.
The ImageFilter module contains a number of predefined enhancement filters that can be used with the filter method. For example, from the Python prompt, do the following:
>>> import ImageFilter >>> out = im.filter(ImageFilter.DETAIL)
Once you have imported the module, you can use any of these filters:
Some decoders allow you to manipulate an image while reading it from a file. This often can be used to speed up decoding when creating thumbnails and printing to a monochrome laser printer. The draft method manipulates an opened but not yet loaded image so it matches the given mode and size as closely as possible. Reconfiguring the image decoder does this. See Listing 3 for an example of how to read an image in draft mode.
Listing 3. Reading in Draft Mode
im = Image.open (file) print "original =", im.mode, im.size im.draft("L", (100, 100)) print "draft =", im.mode, im.size This prints something like: original = RGB (512, 512) draft = L (128, 128)
Listing 4 shows how the ImageDraw module provides basic graphics support for Image objects.
Special Reports: DevOps
Have projects in development that need help? Have a great development operation in place that can ALWAYS be better? Regardless of where you are in your DevOps process, Linux Journal can help!
With deep focus on Collaborative Development, Continuous Testing and Release & Deployment, we offer here the DEFINITIVE DevOps for Dummies, a mobile Application Development Primer, advice & help from the experts, plus a host of other books, videos, podcasts and more. All free with a quick, one-time registration. Start browsing now...
- Non-Linux FOSS: Code Your Way To Victory!
- Vagrant Simplified
- Disney's Linux Light Bulbs (Not a "Luxo Jr." Reboot)
- Libreboot on an X60, Part I: the Setup
- Dealing with Boundary Issues
- System Status as SMS Text Messages
- Bluetooth Hacks
- New Products
- October 2015 Issue of Linux Journal: Raspberry Pi
- Linux and the Internet of Things