MATLAB: How to deblur an image after gauss filter and image registration

3d image processingimage processingimage registration

I need to do 3d image registration and I choose to do gauss filter to get better registration. However, how can I restore my image after image registration. I don't want to my images be blurred.

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Use imregtform to perform the registration on the blurred images and to obtain the optimal tform. Then apply the tform to your original unblurred moving image.

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Hi Colleen, I would recommend you take a look at the following example that ships with the Image Processing Toolbox:

http://www.mathworks.com/help/images/examples/registering-multimodal-3-d-medical-images.html

It shows how spatial referencing objects can be used to specify the resolution of your images in each dimension and improve 3-D registration results with imregister.

In your case, the first CT image you described would have a spatial referencing object defined as:

 Rct = imref3d(size(yourImage), 0.156,  0.156, 0.4);

Where yourImage is the variable that contains the first CT image.

Passing spatial referencing information can be very useful in getting imregister/imregtform to converge.

MATLAB: I have dermoscopy image of skin lesion

filteredImage = imclose(grayImage, true(windowWidth));

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MATLAB: Does different image parameters affect image registration

MATLAB: I have dermoscopy image of skin lesion

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