variance vs coefficient of variation
<p>I need to identify which statistic let me to find on digital image which line   has the highest variation. I am using Variance (square units, calculated as numpy.var(x)) and Coefficient of Variation (unitless, calculated as numpy.sd(x)/numpy.mean(x)), but I got different values, as here:</p>

<pre><code>v1 = line(VAR(x)) 

v2 = line(CV(x))

print(v1,v2)
</code></pre>

<p>The result:</p>

<blockquote>
  <p>(12,17) </p>
</blockquote>

<p>Should not both find the same line?
Which one could be better to use in this case?</p>