Automatic segmentation of granular objects in images: Combining local density clustering and gradient-barrier watershed
Propose a general framework for granular object recognition and segmentation. Apply the scheme to a wide variety of applications. Propose a modified watershed approach called gradient-barrier watershed. Incorporate a clustering step in the marker finding procedure. Propose a scheme for edge detection and fore/background separation called intensity moment approach.
local density clustering gradient-barrier watershed granular object recognition edge detection intensity moment image segmentation cell/nuclei segmentation nanoparticle segmentation