ImageProcessing

Image Processing project for color constancy problem with Gaussian blur component

Installing Ipython Notebook

There are multiple ways of installing IPython. This page contains simplified installation instructions that should work for most users. Our official documentation contains more detailed instructions for manual installation targeted at advanced users and developers.

If you are looking for installation documentation for the notebook and/or qtconsole, those are now part of Jupyter.

I already have Python

If you already have Python installed and are familiar with installing packages, you can get IPython with pip:

pip install ipython

I am getting started with Python

For new users who want to install a full Python environment for scientific computing and data science, we suggest installing the Anaconda or Canopy Python distributions, which provide Python, IPython and all of its dependences as well as a complete set of open source packages for scientific computing and data science.

Download and install

1 - Continuum’s Anaconda
2 - the free edition of Enthought’s Canopy.

Update IPython to the current version using the Terminal:

Anaconda:

conda update conda
conda update ipython

Enthought Canopy:

enpkg ipython

Important Imports:

	%matplotlib inline
	from __future__ import  division
	import matplotlib.pyplot as plt
	import numpy as np
	import math 
	import cv2
	from IPython.display import display, Image
	from scipy.ndimage import filters
	from scipy.spatial.distance import cdist,pdist,squareform
	from glob import glob
	import PIL

Make sure you have:

1 - numpy
2 - cv2
3 - scipy
4 - PIL

Project

In the file "Experimentos Projeto de imagem.ipynb" you can see the algorithms and results of the article Blur Robust And Color Constant Image Description.

The other files are just small templates of image processing filtering and transformations.