Greetings Sir,
Here color_divisionKn function implement the K-means clustering algorithm to cluster image on the basis of pixel value resulting in a color quantized effect that is controlled by k value that is used on the user provided images resulting in 2 output files(here) (as a result of 1 effect's call). A variety of such can be generated for a single input (so as to demonstrate).
This effect is helps producing an image form the input image that is quantized on the basis for RGB channels. This will output an image that is divided with color values concentrated at a region. Best used in CBIR systems (Content based image retrieval systems).
Results are really mesmerizing (by local survey on different images) [added in assets directory].
Also I have updated the README.md file.
Please merge the PR if everything is fine according to you.
Greetings Sir, Here color_divisionKn function implement the K-means clustering algorithm to cluster image on the basis of pixel value resulting in a color quantized effect that is controlled by k value that is used on the user provided images resulting in 2 output files(here) (as a result of 1 effect's call). A variety of such can be generated for a single input (so as to demonstrate). This effect is helps producing an image form the input image that is quantized on the basis for RGB channels. This will output an image that is divided with color values concentrated at a region. Best used in CBIR systems (Content based image retrieval systems). Results are really mesmerizing (by local survey on different images) [added in assets directory]. Also I have updated the README.md file. Please merge the PR if everything is fine according to you.
Thank you.