Class MeanSmooth

java.lang.Object
  |
  +--java.lang.Thread
        |
        +--MeanSmooth
Direct Known Subclasses:
Unsharp
public class MeanSmooth
extends java.lang.Thread

MeanSmooth is an algorithm to meany smooth a binary image using a 3x3 kernel.

Fields inherited from class java.lang.Thread
MAX_PRIORITY, MIN_PRIORITY, NORM_PRIORITY
 
Constructor Summary
MeanSmooth()
          Default no-args constructor.
 
Method Summary
static int[][] generateInputArrays(int[] input, int width, int height)
          Converts a 1D array into a 2D array.
static int[] generateOutputArray(int[][] outputArrays, int width, int height)
          Converts a 2D array into a 1D array.
static int meanNeighbour(int[][] input, int[][] kernel, int w, int h, int x, int y)
          Calculates the mean of a 3x3 pixel neighbourhood (including centre pixel).
static int[] smooth_image(int[] input, int[] kernel, int width, int height, int iterations)
          Takes an image and a kernel and applies the specified number of mean smoothings to it.
static int[][] smooth(int[][] input, int[][] kernel, int width, int height, int iterations)
          Takes an image in 2D array form and smoothes it according to the kernel.
static int[] smoothImage(int[] input, int width, int height, int[] kernel, int kernelWidth, int kernelHeight, int iterations)
          Takes an image and a kernel and applies the specified number of mean smoothings to it.
 
Methods inherited from class java.lang.Thread
activeCount, checkAccess, countStackFrames, currentThread, destroy, dumpStack, enumerate, getContextClassLoader, getName, getPriority, getThreadGroup, interrupt, interrupted, isAlive, isDaemon, isInterrupted, join, join, join, resume, run, setContextClassLoader, setDaemon, setName, setPriority, sleep, sleep, start, stop, stop, suspend, toString, yield
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
 

Constructor Detail

MeanSmooth

public MeanSmooth()
Default no-args constructor.
Method Detail

meanNeighbour

public static int meanNeighbour(int[][] input,
                                int[][] kernel,
                                int w,
                                int h,
                                int x,
                                int y)
Calculates the mean of a 3x3 pixel neighbourhood (including centre pixel).
Parameters:
input - the input image 2D array
kernel - the kernel 2D array
w - the image width
h - the image height
x - the x coordinate of the centre pixel of the array
y - the y coordinate of the centre pixel of the array
Returns:
the mean of the 9 pixels

generateInputArrays

public static int[][] generateInputArrays(int[] input,
                                          int width,
                                          int height)
Converts a 1D array into a 2D array.
Parameters:
input - the input image 1D array
width - of the input image
height - of the input image
Returns:
the newly created 2D array [width][height]

generateOutputArray

public static int[] generateOutputArray(int[][] outputArrays,
                                        int width,
                                        int height)
Converts a 2D array into a 1D array.
Parameters:
outputArrays - the image 2D array
width - of the image
height - of the image
Returns:
the new 1D array [width*height]

smooth

public static int[][] smooth(int[][] input,
                             int[][] kernel,
                             int width,
                             int height,
                             int iterations)
Takes an image in 2D array form and smoothes it according to the kernel.
Parameters:
input - the input image
width - of the input image
height - of the output image
iterations - to be performed
Returns:
the new smoothed image 2D array

smooth_image

public static int[] smooth_image(int[] input,
                                 int[] kernel,
                                 int width,
                                 int height,
                                 int iterations)
Takes an image and a kernel and applies the specified number of mean smoothings to it.
Parameters:
input - the input image 1D array
kernel - the kernel 1D array 9 elements (3x3)
width - of the input image
height - of the output image
iterations - to be performed
Returns:
the new smoothed image 1D array

smoothImage

public static int[] smoothImage(int[] input,
                                int width,
                                int height,
                                int[] kernel,
                                int kernelWidth,
                                int kernelHeight,
                                int iterations)
                         throws InputException
Takes an image and a kernel and applies the specified number of mean smoothings to it.
Parameters:
input - the input image 1D array
kernel - the kernel 1D array 9 elements (3x3)
width - of the input image
height - of the output image
iterations - to be performed
Returns:
the new smoothed image 1D array