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k-means Image Segmentation

Data Skeptic

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Is There a Difference Between the Foreground and the Background?

The algorithm didn't even try to qoanqot recognize the wood. It just, oh, this is all so similar, we're going to lump it together. But you lose all the wood grain and texture information because there isn't a lot of difference there. And then let's go to the lower left, where now it's k equal to six colors. Any observations about improvements in the quality or artistic merits of this image?

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