Python implementation of Simple Non Iterative Clustering algorithm
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This project was a part of Optional End of Course Projects from CS 558 Computer Vision at Stevens Institute of Technology. It is a python implementation of Simple Non Iterative Clustering (SNIC) algorithm which uses a non-iterative approach as opposed to the popular Simple Linear Iterative Clustering (SLIC). Being a non-linear approach, it saves computation complexity and makes the algorithm faster than SLIC.
Achanta, Radhakrishna, and Sabine Susstrunk. "Superpixels and polygons using simple non-iterative clustering." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017. link