Return the Coordinates of the differences

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Mark Petty 2019-6-30

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评论： Mark Petty 2019-6-30

I have two images, where the only difference is a relocated book, from the table to the floor. Using the 'diff' method of the imfuse and imshowpair I have been able to highlight the 'original' and 'relocated' position of the books in one image; one image registered on the other. Is there a way to automatically place a bounding box around both books in the fused image so that I could obtain the coordinates?

I have had some success in converting the fused image to binary, using bwareafilt to filter out the highlighted 'difference' regions and then using regionprops 'boundingbox' method. However, it is cumbersome and I feel that there is a better solution.

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Answer 1

KALYAN ACHARJYA 2019-6-30

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编辑：KALYAN ACHARJYA 2019-6-30

在 MATLAB Online 中打开

Return the Coordinates of the differences?

Suppose you have two images (Considering both images are capture in identical illumination enviroment)

a> Original image

b>book reallocation image

Converting two images in gray

diff_im=a-b;

Although both images are capture in identical illumination, but still it not exactly same, therefore, force the some pixel lower data(threshold), which may not equal to zero to Zero.

diff_im=modified a-b %do operation
idx=find(diff_im(:,:) !=0)  %fives indexing wheich are not same in bot images

Is this sense to your question?

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Mark Petty 2019-6-30

That is essentially what I have done, take the imfuse image from a Grayscale to a binary image so that the two instances of the book stand out. However, is there another more relable way to identify the differences, surround them with bounding boxes and get the x,y coords.

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Answer 2

Guillaume 2019-6-30

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Sounds like you're doing image registration. Have you considered looking at the functions that matlab already provides? There's also some registration functions in the computer vision toolbox.

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Mark Petty 2019-6-30

Yes I am performing image registration, the two images that I am using have been registed using ASIFT feature matching, then estimateGeometric Transform, then imwarp.

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