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"info": {
"author": "Christoph Gohlke",
"author_email": "cgohlke@uci.edu",
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"License :: OSI Approved :: BSD License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 2",
"Programming Language :: Python :: 2.7",
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"description": "FFT based image registration\n============================\n\nImreg is a Python library that implements an FFT-based technique for\ntranslation, rotation and scale-invariant image registration [1].\n\n:Author:\n `Christoph Gohlke `_\n\n:Organization:\n Laboratory for Fluorescence Dynamics, University of California, Irvine\n\n:Version: 2019.1.1\n\nRequirements\n------------\n* `CPython 2.7 or 3.5+ `_\n* `Numpy 1.13 `_\n* `Scipy 1.1 `_\n* `Matplotlib 2.2 `_ (optional for plotting)\n\nNotes\n-----\nImreg is no longer being actively developed.\n\nThis implementation is mainly for educational purposes.\n\nAn improved version is being developed at https://github.com/matejak/imreg_dft.\n\nReferences\n----------\n(1) An FFT-based technique for translation, rotation and scale-invariant\n image registration. BS Reddy, BN Chatterji.\n IEEE Transactions on Image Processing, 5, 1266-1271, 1996\n(2) An IDL/ENVI implementation of the FFT-based algorithm for automatic\n image registration. H Xiea, N Hicksa, GR Kellera, H Huangb, V Kreinovich.\n Computers & Geosciences, 29, 1045-1055, 2003.\n(3) Image Registration Using Adaptive Polar Transform. R Matungka, YF Zheng,\n RL Ewing. IEEE Transactions on Image Processing, 18(10), 2009.\n\nExamples\n--------\n>>> im0 = imread('t400')\n>>> im1 = imread('Tr19s1.3')\n>>> im2, scale, angle, (t0, t1) = similarity(im0, im1)\n>>> imshow(im0, im1, im2)\n\n>>> im0 = imread('t350380ori')\n>>> im1 = imread('t350380shf')\n>>> t0, t1 = translation(im0, im1)\n\n\n",
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