What is being compared: color, or "shape?"

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jbooth
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Post #1by jbooth » Thu Dec 21, 2006 1:02 pm

I can understand why definite information is not given for the algorithm (propriatary information!), but I would like to know the general approach taken.

For example, I have processed a set of 5 graphics, where I was comparing them to one of the five. I put the one graphic in a separate folder, and then compared the two groups.

In one "run," the graphics are in color.
In another "run," the graphics are greyscaled.

The "master" image (call it "A," was rated as follows in the two groups (hope the columns show up ok! The numbers indicate percentage of agreement):

Color Greyscale
E61 B73
B60 E66
D55 D61
C51 C57

It is clear that the last two figures rank about the same. However, the figures in color as comared to greyscale values are "switched." (By the way, the figures involve different images of different objects.

My question: what is stressed more: color, or "shape?"
Does size of the figures have any impact on their similarity ratings?

Thanks for any info!
-- JB

bolide M
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bolide M
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Re: What is being compared: color, or "shape?"

Post #2by bolide » Fri Dec 22, 2006 8:51 pm

jbooth wrote:My question: what is stressed more: color, or "shape?"
Does size of the figures have any impact on their similarity ratings?


Color is more significant for our algorithm. rather the R,G,B color components and their positions. Therefore our algorithm is not so good for grayscaled and black&white images
Bolide Software


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