Package boofcv.alg.feature.detect.extract

Interface NonMaxCandidate.Search

All Known Implementing Classes:

NonMaxCandidate.Relaxed, NonMaxCandidate.Strict

Enclosing class:

NonMaxCandidate

public static interface NonMaxCandidate.Search

Interface for local search algorithm around the candidates

Method Summary

Modifier and Type	Method	Description
void	initialize(GrayF32 intensity)
NonMaxCandidate.Search	newInstance()	Create a new instance of this search algorithm.
boolean	searchMax(int x0, int y0, int x1, int y1, int centerIdx, float val)
boolean	searchMin(int x0, int y0, int x1, int y1, int centerIdx, float val)	Verifies that the candidate is a local minimum

Method Details

initialize

void initialize(GrayF32 intensity)

searchMin

boolean searchMin(int x0,
 int y0,
 int x1,
 int y1,
 int centerIdx,
 float val)

Verifies that the candidate is a local minimum

Parameters:

x0 - lower extent X. Inclusive

y0 - lower extent Y. Inclusive

x1 - upper extent X. Exclusive

y1 - upper extent Y. Exclusive

centerIdx - index of candidate pixel in the image

val - value at the candidate pixel

Returns:

true if it's a local min

searchMax

boolean searchMax(int x0,
 int y0,
 int x1,
 int y1,
 int centerIdx,
 float val)

newInstance

NonMaxCandidate.Search newInstance()

Create a new instance of this search algorithm. Useful for concurrent implementations