A tiny project using GMM to segment imgs. This is done by:
- First convert the image from RGB color space into RG color space
- Then assume the pixels to be points from K different multiple dimentional Gaussians
- Apply EM methods to obtain the fitted data points
Greyscale pictures reflect how likely(the possibility) that a pixel may lay in one Gaussian component.
- White: More likely
- Black: Less likely