I am trying to get a few different histograms to show up to compare the original image and the output image after convolving it. It shows the image and the source histogram but when i call the dst histogram, it errors and does not display. If anyone could help, it would be much appreciated!
Error code -
Exception in thread "main" java.lang.ArrayIndexOutOfBoundsException: 853
at iptoolkit.Histogram.<init>(Histogram.java:15)
at assignment2.main(assignment2.java:82)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)
Process finished with exit code 0
Code -
public static void main(String[] args) throws Exception
{
MainWindow mw = new MainWindow();
mw.println("Testing...");
IntImage src = new IntImage("C:\\Users\\scott_000\\Documents\\Digital Imaging\\Digital Imaging\\Images\\Baboon.bmp"); //destination for source image
int nRows = src.getRows(); //calculating the rows of the images and columns
int nCols = src.getCols();
IntImage dst = new IntImage(nRows, nCols); //setting destination image(output image)
IntImage dst1 = new IntImage(nRows, nCols);
src.displayImage(400, 300); //displaying the source image (input)
int [][] mask = new int[][] { {-1, -2, -1}, {0, 0, 0}, {1, 2, 1} }; //mask imput (sobel masks in order from top to bottom
int [][] meanMask = new int[3][3];
meanMask[0][0] = 1;
meanMask[0][1] = 1;
meanMask[0][2] = 1;
meanMask[1][0] = 1; // 1 1 1
meanMask[1][1] = 1; // 1 1 1
meanMask[1][2] = 1; // 1 1 1
meanMask[2][0] = 1;
meanMask[2][1] = 1;
meanMask[2][2] = 1;
int [][] mask5x5 = new int[5][5];
mask5x5[0][0] = 1;
mask5x5[0][1] = 1;
mask5x5[0][2] = 1;
mask5x5[0][3] = 1;
mask5x5[0][4] = 1;
mask5x5[1][0] = 1;
mask5x5[1][1] = 1;
mask5x5[1][2] = 1;
mask5x5[1][3] = 1;
mask5x5[1][4] = 1;
mask5x5[2][0] = 1;
mask5x5[2][1] = 1;
mask5x5[2][2] = 1; // 1 1 1 1 1
mask5x5[2][3] = 1; // 1 1 1 1 1
mask5x5[2][4] = 1; // 1 1 1 1 1
mask5x5[3][0] = 1;
mask5x5[3][1] = 1;
mask5x5[3][2] = 1;
mask5x5[3][3] = 1;
mask5x5[3][4] = 1;
mask5x5[4][0] = 1;
mask5x5[4][1] = 1;
mask5x5[4][2] = 1;
mask5x5[4][3] = 1;
mask5x5[4][4] = 1;
convolve(src, mask5x5, dst); //calling convolve method, with input image(src), template(mask) and output image(dst)
dst.setScaling(true); //scales the image down to 255
dst.displayImage(); //display the output image
convolve(src, meanMask, dst1); //calling convolve method, with input image(src), template(mask) and output image(dst)
dst1.setScaling(true); //scales the image down to 255
dst1.displayImage(); //display the output image
Histogram h = new Histogram(src);
IntImage histImage;
histImage = h.makeImage(); //setting and displaying histogram
histImage.displayImage();
Histogram y = new Histogram(dst1);
IntImage histImage1;
histImage1 = y.makeImage(); //setting and displaying histogram
histImage1.displayImage();
}
static IntImage convolve(IntImage in, int[][] template, IntImage out) //parameters to be set
{
int nRows = in.getRows(); //find out how many of rows there are and cols
int nCols = in.getCols();
int nMaskRows = template.length; //set length of rows and cols
int nMaskCols = template[0].length;
int rBoarder = nMaskRows / 2; //calculation for the border of the image
int cBoarder = nMaskCols / 2;
int sum; //used for the calculation
for (int r = 0; r < (nRows - nMaskRows + 1); r++) //start at the first row(top left) and work to the right, number of rows - mask rows(whatever the mask is)
{
for (int c = 0; c < (nCols - nMaskCols + 1); c++) //same as above
{
sum = 0; //declaring the sum as 0
for (int mr = 0; mr < nMaskRows; mr++)
{
for (int mc = 0; mc < nMaskCols; mc++)
{
sum += in.pixels[r + mr][c + mc] * template[mr][mc]; //change this for calculating the edge preserving smoothing (mean, median etc)
}
}
out.pixels[r + rBoarder][c + cBoarder] = sum;
}
}
return out;
}
}
Your ArrayIndexOutOfBoundsException is probably being caused by the fact that your Sobel filter can output negative values. Most likely your Histogram is not expecting that.
I can't find any information about the library you're using (iptoolkit?) but I'd read the Histogram documentation to see it if gives any clues about how to handle negative values.