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The following question uses the answers taken from here.

I have two images which should be adjusted by image correlation using FindGeometricTransform.

The desired overlapped result should be the "overlapped image".

enter image description here

To do that I am using the following code:

img1 = Import["http://i.imgur.com/flgbobm.png"];

img2 = Import["http://i.imgur.com/ajXibPe.png"];

{merit, trans} = FindGeometricTransform[img2, img1, TransformationClass -> "Similarity"];

imgt = ImageTransformation[img2, trans, DataRange -> Full];

Blend[{ColorNegate[img1], imgt}, {0.3, 1}]

enter image description here

The results is not exactly what I want.

  • First, the small disk is not centered inside of the larger disk.

  • Second, it has not the same size (I assume this should be obtained since TransformationClass -> "Similarity"considers translation, rotation, and scaling).

  • Third, the resulting image is only showing some overlapped squared region and not the whole scaled images.

How could this be solved?

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I got your disks to align by filtering them into doughnuts.

{fi1, fi2} = 
 ImageAdjust[
    DistanceTransform[
     ImageAdjust[
      GradientFilter[DistanceTransform[#], 4], {0, 0, 1}, {0.5, 1}]]
    ] & /@ {img1, img2}

Filtered disk images converted to doughnuts

{merit, trans} = FindGeometricTransform[fi2, fi1];
imgt = ImageTransformation[img2, trans, DataRange -> Full];
Image[ImageDifference @@ Binarize /@ {img1, imgt}]

Difference of aligned images

The above difference image shows FindGeometricTransform found a better transform. However, I don't know how applicable this technique is to other images.

As for producing a union of the two images, there may be help in the Mathematica documentation for FindGeometricTransform under Applications (text starts "A basic image-stitching method" and uses images of a shoreline.)

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