Color Quantization with OpenCV, Python


Color Quantization with OpenCV, Python

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SKU: Color Quantization with OpenCV, Python Categories: ,


Color Quantization with OpenCV, Python

Color quantization is the process of reducing the number of distinct colors in an image.Normally, the intent is to preserve the color appearance of the image as much as possible, while reducing the number of colors, whether for memory limitations or compression.k-means implementation will be handled by scikit-learn; specifically, the MiniBatchKMeans class.MiniBatchkmeans is substantially faster than normal K-Means, although the centroids may not be as stable.This is because  MiniBatchKMeans operates on small “batches” of the dataset, whereas K-Means operates on the population of the dataset, thus making the mean calculation of each centroid, as well as the centroid update loop, much slower.

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