Clustering of the rainbow image.
In this repository you can find the class implemetantion of Image Cluster, a notebook with examples of using it, with Experiments and rainbow image.
Input data must be an image with 3 channels in RGB format.
The mask with the same shape will be returned using method predict. Each element in mask represents the cluster label of a current pixel.
def __init__(self,
image: np.ndarray, # Input image
algorithm: str = "Kmeans", # Algorithm with will be used to make clustering (supported - ["Kmeans"])
number_of_classes: int = 6, # Desired number of clusters
color_mode : str = "rgb", # Color format of image (supported - ["hsv", "rgb"])
number_of_components : int = 3, # Number of components in PCA algorithm (supported - [1, 2, 3])
use_only_hs: bool = False, # Flag to use only Hue and Saturation components in HSV format of image
):
super().__init__()
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