skyview.process.imagefinder

Class ScaledBorder

java.lang.Object

skyview.process.ImageFinder

skyview.process.imagefinder.RectRecurse

skyview.process.imagefinder.ScaledBorder

public class ScaledBorder
extends RectRecurse

This class works almost exactly like the BorderImageFinder, however when calculating the distance from the edge of the image, the distance is scaled to diagonal dimension of the image.

Field Summary

Fields inherited from class skyview.process.imagefinder.RectRecurse

CONSUMED, fromOut, NO_COVERAGE, NON_PHYSICAL, SPLIT_X, SPLIT_XY, SPLIT_Y, UNCHECKED

Constructor Summary

Constructors

Constructor and Description
ScaledBorder()

Method Summary

Modifier and Type	Method and Description
protected double	criterion(int i, int nx, int ny, double x, double y) Given a point at x,y in an image of size a,b in the rectangle 0,a 0,b find the minimum distance to the edge.

Methods inherited from class skyview.process.imagefinder.RectRecurse

cornerMatch, edgeOff, findImages, getCandidate, getImage, getInputLimits, minDist, printOut, radiusSquared, setStrict

Methods inherited from class skyview.process.ImageFinder

factory

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ScaledBorder

public ScaledBorder()

Method Detail

criterion

protected double criterion(int i,
                           int nx,
                           int ny,
                           double x,
                           double y)

Given a point at x,y in an image of size a,b in the rectangle 0,a 0,b find the minimum distance to the edge. We assume that x,y is contained in the rectangle. If x,y is outside the rectangle, then this should return a negative number. In this version the distance is scaled according to the size of the image. Unfortunately we cannot assume that this is constant. This ImageFinder is called when we have images with substantially different sizes in the survey.

Specified by:

criterion in class RectRecurse

Parameters:

i - The index of the image being considered

nx - The width of the candidate image

ny - The height of the caandiate image

x - The x-value of the requested point.

y - The y-value of the requested point.

Returns:

A measure of the desirability of using this image to same this point. Larger is better.