Image processing with Python and SciPy: Difference between revisions

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Revision as of 07:09, 26 February 2013

Given that NumPy provides multidimensional arrays, and that there is core support through the Python Imaging Library to display images and manipulate images in the Python environment, it's easy to take the next step and combine these for scientific image processing. As part of our short course on Python for Physics and Astronomy we begin by exploring how Python handle image input and output


Python Imaging Library - PIL

Astronomical FITS files with PyFITS

FITS headers

Processing and displaying images

SciPy and SciKit for image processing

Examples

Assignments