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Alexander
Alexander
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Can the Mean Shift Algorithm be used in color quantization?

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Doc Brown
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I have a problem with deciding algorithm for color quantization. The image that I want to do color quantization is an RGB image with resolution 512 x 512. I want to reduce the color value in the pixel to reduce the image size.

I don't want to use the popular algorithm k-means. And I found this mean shift algorithmmean shift algorithm.

Mean shift is a clustering algorithm (same as k-means) that have certain centroids and window (each centroids have 1) to look for densest part in its window then move the centroid into the densest part. It will keep going like that until it converge with another centroid and not moving anymore.

Is it possible to use mean shift in color quantization? Because both k-means and mean shift are clustering algorithms but all I found is image segmentation for mean algorithm and k-means for color quantization?

I have a problem with deciding algorithm for color quantization. The image that I want to do color quantization is an RGB image with resolution 512 x 512. I want to reduce the color value in the pixel to reduce the image size.

I don't want to use the popular algorithm k-means. And I found this mean shift algorithm.

Mean shift is a clustering algorithm (same as k-means) that have certain centroids and window (each centroids have 1) to look for densest part in its window then move the centroid into the densest part. It will keep going like that until it converge with another centroid and not moving anymore.

Is it possible to use mean shift in color quantization? Because both k-means and mean shift are clustering algorithms but all I found is image segmentation for mean algorithm and k-means for color quantization?

I have a problem with deciding algorithm for color quantization. The image that I want to do color quantization is an RGB image with resolution 512 x 512. I want to reduce the color value in the pixel to reduce the image size.

I don't want to use the popular algorithm k-means. And I found this mean shift algorithm.

Mean shift is a clustering algorithm (same as k-means) that have certain centroids and window (each centroids have 1) to look for densest part in its window then move the centroid into the densest part. It will keep going like that until it converge with another centroid and not moving anymore.

Is it possible to use mean shift in color quantization? Because both k-means and mean shift are clustering algorithms but all I found is image segmentation for mean algorithm and k-means for color quantization?

explain details about the problem and the algorithm
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user10057710
user10057710
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I have a problem with deciding algorithm for color quantization. ButThe image that I want to do color quantization is an RGB image with resolution 512 x 512. I want to reduce the color value in the pixel to reduce the image size.

I don't want to use the popular algorithm k-means. And I found this mean shift algorithm.

Mean shift is a clustering algorithm (same as k-means) that have certain centroids and window (each centroids have 1) to look for densest part in its window then move the centroid into the densest part. IsIt will keep going like that until it converge with another centroid and not moving anymore.

Is it possible to use mean shift in color quantization? Because both k-means and mean shift are clustering algorithms but all I found is image segmentation for thismean algorithm/ and k-means for color quantization?

I have a problem with deciding algorithm for color quantization. But I don't want to use the popular algorithm k-means. And I found this mean shift algorithm. Is it possible to use mean shift in color quantization? Because all I found is image segmentation for this algorithm/

I have a problem with deciding algorithm for color quantization. The image that I want to do color quantization is an RGB image with resolution 512 x 512. I want to reduce the color value in the pixel to reduce the image size.

I don't want to use the popular algorithm k-means. And I found this mean shift algorithm.

Mean shift is a clustering algorithm (same as k-means) that have certain centroids and window (each centroids have 1) to look for densest part in its window then move the centroid into the densest part. It will keep going like that until it converge with another centroid and not moving anymore.

Is it possible to use mean shift in color quantization? Because both k-means and mean shift are clustering algorithms but all I found is image segmentation for mean algorithm and k-means for color quantization?

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user10057710
user10057710
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