Morph-M

h1. Morph-M Python - Neighborhoods

h2{color:#8B0000;background:#ddd}. Neighborhoods

The most useful constructs for complex algorithms are Neighborhoods:

<pre><code class="ruby">

# this is the almost-complete code for a dilation:

neighb=createNeighborhood(imIn, NeighborList.neighborsHex2D)

it=imIn.imageData()

out=imOut.imageData()

while it.isNotFinished():

       neighb.setCenter(it)

       out.setPixel( max(neighb) )

       it.next()

       out.next()

</code></pre>

_max_ is a Python function that return the maximum value of any *"iterable"* object.

NeighborhoodIterators are also available:

<pre><code class="ruby">

neighb=createNeighborhood(imIn, NeighborList.neighborsHex2D)

it=imIn.imageData()

while it.isNotFinished():

      neighb.setCenter(it)

      nit=neighb.__iter__()

      while nit.isNotFinished():

          print nit.getOffset() , nit.getPixel()

          nit.next()

      it.next()

</code></pre>

The _getOffset_ is available for complex algorithms, as well as the _getPixel._