spotter

def rand_stat_adjusted(C, P):
    """Return Rand statistic.
    C and P are two iterables.
    """
    sz = len(C)
    M = a = b = c= d = 0
    for i in range(sz-1):
        for j in range(i+1,sz):
            M += 1
            if C[i] == C[j]:

spotter

#! /bin/usr/env python
# -*- coding: utf-8 -*-

"""Building DAB colormap."""

__author__ = "Xavier Moles Lopez <x.moleslo@gmail.com>"
__date__ = "01/05/11"

from pylab import *
from matplotlib.colors import LinearSegmentedColormap

spotter

def noise(image):
    """ Compute the noise feature.

    Parameters
    ----------
    image: ndarray
        Image array (uint8 array).

    Returns
    -------