ImageScience 3.0.0

imagescience.segment
Class Thresholder

java.lang.Object
  extended by imagescience.segment.Thresholder

public class Thresholder
extends java.lang.Object

Thresholds images.


Field Summary
 Messenger messenger
          The object used for message displaying.
 Progressor progressor
          The object used for progress displaying.
 
Constructor Summary
Thresholder()
          Default constructor.
 
Method Summary
 void hard(Image image, double threshold)
          Applies hard thresholding to an image.
 void hysteresis(Image image, double low, double high)
          Applies hysteresis thresholding to an image.
 
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Field Detail

messenger

public final Messenger messenger
The object used for message displaying.


progressor

public final Progressor progressor
The object used for progress displaying.

Constructor Detail

Thresholder

public Thresholder()
Default constructor.

Method Detail

hard

public void hard(Image image,
                 double threshold)
Applies hard thresholding to an image.

Parameters:
image - The input image to be thresholded. The image is overwritten with the thresholding results.
threshold - The threshold value. Elements with a value larger than or equal to threshold are set to 255, and elements with a value less than threshold are set to 0.
Throws:
java.lang.NullPointerException - If image is null.

hysteresis

public void hysteresis(Image image,
                       double low,
                       double high)
Applies hysteresis thresholding to an image.

Parameters:
image - The input image to be thresholded. The image is overwritten with the thresholding results.
low - high - The lower and higher threshold values that define the hysteresis. Elements with a value larger than or equal to high are set to 255, elements with a value less than low are set to 0, and elements with a value larger than or equal to the low are set to 255 only if they are connected to elements with a value larger than or equal to high through elements all with a value larger than or equal to low. If the size of the image in the z-dimension equals 1, this method uses 8-connectivity in x-y space, otherwise it uses 26-connectivity in x-y-z space. The algorithm is applied to every x-y(-z) subimage in a 5D image.
Throws:
java.lang.NullPointerException - If image image is null.

ImageScience 3.0.0

Copyright (C) Erik Meijering. Permission to use this software and corresponding documentation for educational, research, and not-for-profit purposes, without a fee and without a signed licensing agreement, is granted, subject to the following terms and conditions.

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