public void meanRemovalComparison()
{
Bitmap image = imageModel.getBaseImage();
MeanRemoval3x3 mr3 = new MeanRemoval3x3();
MeanRemoval5x5 mr5 = new MeanRemoval5x5();
MeanRemoval7x7 mr7 = new MeanRemoval7x7();
Bitmap convImage3 = FilterController.ConvolutionFilter(image, mr3);
Bitmap convImage5 = FilterController.ConvolutionFilter(image, mr5);
Bitmap convImage7 = FilterController.ConvolutionFilter(image, mr7);
channelView.setChannelImages(image, convImage3, convImage5, convImage7);
}
public void applyMeanRemoval(int type)
{
Bitmap image;
if (imageModel.getFilteredImage() != null)
{
image = imageModel.getFilteredImage();
}
else
{
image = imageModel.getBaseImage();
}
this.undoBuffer.push(image);
switch (type)
{
case 1:
MeanRemoval3x3 mr3 = new MeanRemoval3x3();
image = FilterController.ConvolutionFilter(image, mr3);
break;
case 2:
MeanRemoval5x5 mr5 = new MeanRemoval5x5();
image = FilterController.ConvolutionFilter(image, mr5);
break;
case 3:
MeanRemoval7x7 mr7 = new MeanRemoval7x7();
image = FilterController.ConvolutionFilter(image, mr7);
break;
}
imageModel.setFilteredImage(image);
baseView.setBaseImageFromBitmap(image);
imageModel.setCIEImage(setCIEImage(image));
RGBModel[,] rgbImage = convertToRGB(imageModel.getCIEImage());
histogramView.setBaseImage(imageModel.getFilteredImage());
channelView.setFilteredChannelImages(image, setRedChannel(rgbImage), setGreenChannel(rgbImage), setBlueChannel(rgbImage));
this.redoBuffer.clearBuffer();
}