StdDeviationParamCalculator (DMLab Library API for 0.0.4-SNAPSHOT)

java.lang.Object
- edu.gsu.cs.dmlab.imageproc.imageparam.BaseMeanCalculator
- - edu.gsu.cs.dmlab.imageproc.imageparam.StdDeviationParamCalculator

All Implemented Interfaces:

IParamCalculator
```
public class StdDeviationParamCalculator
extends BaseMeanCalculator
implements IParamCalculator
```
This class is designed to compute the standard deviation of each patch of the given 2D array, based on the following formula:

σ = sqrt{(1/(L-1)) SUM{(z_i - m)^2}}

where:
- L: the total number of pixels in this patch.
- z_i: the intensity value of the i-th pixel in this patch.
- m: the mean value corresponding to this patch.
Author:

Azim Ahmadzadeh, Data Mining Lab, Georgia State University

Constructor Summary

Constructors
Constructor Description

StdDeviationParamCalculator(IMeasures.PatchSize patchSize)

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double[][]`	`calculateParameter(double[][] image)`	This polymorphic method is designed to compute any of the 10 parameters at a time.

Methods inherited from class edu.gsu.cs.dmlab.imageproc.imageparam.BaseMeanCalculator
calculateMeanParameter

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

- Constructor Detail
  - StdDeviationParamCalculator
```
public StdDeviationParamCalculator(IMeasures.PatchSize patchSize)
```
- Method Detail
  - calculateParameter
```
public double[][] calculateParameter(double[][] image)
```
    Description copied from interface: IParamCalculator
    
    This polymorphic method is designed to compute any of the 10 parameters at a time. It iterates over the given image, patch by patch, and then in every patch, pixel by pixel, to compute the parameter value for each patch.
    Note: In all the classes, matrices are read and write, row by row.
    Note: It is required that each class works independently, meaning that they must rely on their own computations. Therefore, some calculations (e.g. mean intensity value) might be calculated several times for different parameters (e.g. once for skewness and another time for std. deviation).
    Note: No fixed range for the color intensity values of the given images is assumed. (colors do not have to be within the range [0,255].)
    
    Specified by:
    
    calculateParameter in interface IParamCalculator
    
    Parameters:
    
    image - a 2D array representing the input image for which the parameter should be computed.
    
    Returns:
    
    a 2D matrix whose each entry corresponds to the calculated parameter for one particular patch of the image.