|
@@ -1,6 +1,6 @@
|
|
|
<h2>DESCRIPTION</h2>
|
|
|
Image segmentation or object recognition is the process of grouping
|
|
|
-similar pixels into unique segments, also refered to as objects.
|
|
|
+similar pixels into unique segments, also referred to as objects.
|
|
|
Boundary and region based algorithms are described in the literature,
|
|
|
currently a region growing and merging algorithm is implemented. Each
|
|
|
object found during the segmentation process is given a unique ID and
|
|
@@ -46,7 +46,7 @@ of 0 would allow only identical valued pixels to be merged, while a
|
|
|
threshold of 1 would allow everything to be merged. Initial empirical
|
|
|
tests indicate threshold values of 0.01 to 0.05 are reasonable values
|
|
|
to start. It is recommended to start with a low value, e.g. 0.01, and
|
|
|
-then perform hierachical segmentation by using the output of the last
|
|
|
+then perform hierarchical segmentation by using the output of the last
|
|
|
run as <b>seeds</b> for the next run.
|
|
|
|
|
|
<h4>Calculation Formulas</h4>
|