MATLAB: How to filter region of interest (ROI) selected in a 3 d array image (RGB) without converting to grayscale

Question

• Create a filter or mask for a selected region in High Dynamic Range images (HDRI).
• Using the example for ROI in grayscale images, create filter ROI for 3 d array images. The HDRI file cannot loose the properties. Is there a workaround?

*1.)Code used for filtering sample grayscale example: * img = imread('pout.tif');

h_im = imshow(img);

e = imellipse(gca,[55 10 120 120]);

BW = createMask(e,h_im);

h = fspecial('unsharp');

I2 = roifilt2(h,img,BW);

figure, imshow(I2);

2.*)Stuck in the solution for filtering sample HDRI example? * P = hdrread('HDR');

imshow(P);

R = tonemap(P);

figure, imshow®;

whos

imageSizeX = 3000;

imageSizeY = 1500;

imageSizeZ = 3;

centerX = 1500;

centerY= 750;

centerZ= 1.5;

[columnsInImage rowsInImage pagesInImage] = meshgrid(1:imageSizeX, 1:imageSizeY,1:imageSizeZ);

radius = 300; sphereVoxels = (rowsInImage – centerY).^2 … + (columnsInImage – centerX).^2 + (pagesInImage – centerZ).^2 <= radius.^2;

fv = isosurface(sphereVoxels,0);

patch(fv,'FaceColor',[0 0 .7],'EdgeColor',[0 0 1]);

figure, view(90,90);

axis equal;

How do I proceed with the next step or is there a mistake in-between??? Apologize limited understand. Hope someone can help.. Thanks

Answer 1

I don't understand your #2. Does 3D mean color or volumetric? And what does "not lose properties" mean? A filtered image will have different properties than the input image - at least SOME of them must be different or else the filter didn't do anything. And I have no idea what all that isosurface and patch stuff is for. What does that have to do with filtering color or volumetric images?