TldNonMaximalSuppression (boofcv-recognition 0.31 API)

```
public class TldNonMaximalSuppression
extends java.lang.Object
```
Performs non-maximum suppression on high confidence detected regions. A graph of connected regions is constructed. Two regions are considered connected if their overlap is above a threshold. A region is considered a local maximum if it has a score higher than all its neighbors. A weighted average is computed using all regions connected to the local maximum. NOTE: This is a completely different non-maximum algorithm from what was described in the paper. The algorithm described in the paper only approximates non-maximum suppression.

Nested Classes
Modifier and Type	Class and Description
`static class`	`TldNonMaximalSuppression.Connections` Contains connection information for a specific rectangular region

Constructors
Constructor and Description
`TldNonMaximalSuppression(double connectionThreshold)` Configures non-maximum suppression

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`org.ddogleg.struct.FastQueue<TldNonMaximalSuppression.Connections>`	`getConnections()`
`void`	`process(org.ddogleg.struct.FastQueue<TldRegion> regions, org.ddogleg.struct.FastQueue<TldRegion> output)` Finds local maximums from the set of provided regions

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Class TldNonMaximalSuppression