Metadata-Version: 1.2
Name: imreg
Version: 2020.1.1
Summary: FFT based image registration
Home-page: https://www.lfd.uci.edu/~gohlke/
Author: Christoph Gohlke
Author-email: cgohlke@uci.edu
License: BSD
Description: FFT based image registration
        ============================
        
        Imreg is a Python library that implements an FFT-based technique for
        translation, rotation and scale-invariant image registration [1].
        
        :Author:
          `Christoph Gohlke <https://www.lfd.uci.edu/~gohlke/>`_
        
        :Organization:
          Laboratory for Fluorescence Dynamics, University of California, Irvine
        
        :License: BSD 3-Clause
        
        :Version: 2020.1.1
        
        Requirements
        ------------
        * `CPython >= 3.6 <https://www.python.org>`_
        * `Numpy 1.14 <https://www.numpy.org>`_
        * `Scipy 1.3 <https://www.scipy.org>`_
        * `Matplotlib 3.1 <https://www.matplotlib.org>`_  (optional for plotting)
        
        Notes
        -----
        Imreg is no longer being actively developed.
        
        This implementation is mainly for educational purposes.
        
        An improved version is being developed at https://github.com/matejak/imreg_dft.
        
        References
        ----------
        1. An FFT-based technique for translation, rotation and scale-invariant
           image registration. BS Reddy, BN Chatterji.
           IEEE Transactions on Image Processing, 5, 1266-1271, 1996
        2. An IDL/ENVI implementation of the FFT-based algorithm for automatic
           image registration. H Xiea, N Hicksa, GR Kellera, H Huangb, V Kreinovich.
           Computers & Geosciences, 29, 1045-1055, 2003.
        3. Image Registration Using Adaptive Polar Transform. R Matungka, YF Zheng,
           RL Ewing. IEEE Transactions on Image Processing, 18(10), 2009.
        
        Examples
        --------
        >>> im0 = imread('t400')
        >>> im1 = imread('Tr19s1.3')
        >>> im2, scale, angle, (t0, t1) = similarity(im0, im1)
        >>> imshow(im0, im1, im2)
        
        >>> im0 = imread('t350380ori')
        >>> im1 = imread('t350380shf')
        >>> t0, t1 = translation(im0, im1)
        >>> t0, t1
        (20, 50)
        
Platform: any
Classifier: Development Status :: 7 - Inactive
Classifier: License :: OSI Approved :: BSD License
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
