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Semi-assisted segmentation of image using SLIC(super-pixel) and graph-cut minimisation techniques. ( OpenCV required )

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image-segmentation

Semi-assisted segmentation of image using SLIC(super-pixel) and graph-cut minimisation techniques.

We calculate the super-pixels and then use user markings to differentiate the super-pixels. Output is a binary mask, based on the user-markings.

The same is done interactively(user draws markings when code is running) and non-interactively(take markings from an image).

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Semi-assisted segmentation of image using SLIC(super-pixel) and graph-cut minimisation techniques. ( OpenCV required )

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