Metadata-Version: 1.2
Name: imreg
Version: 2019.1.1
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
        
        :Version: 2019.1.1
        
        Requirements
        ------------
        * `CPython 2.7 or 3.5+ <https://www.python.org>`_
        * `Numpy 1.13 <https://www.numpy.org>`_
        * `Scipy 1.1 <https://www.scipy.org>`_
        * `Matplotlib 2.2 <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)
        
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 :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=2.7
