8 research outputs found
Classification of silver halide microcrystals via K-NN clustering of their shape descriptors
Shape reconstruction of partially overlapping objects in SEM images: application to silver halide microcrystals
A method for shape reconstruction and extraction from objects that have
a certain regularity but are observed in a scanning electron microscopy
image with some degree of overlap is presented. The proposed algorithm
first calculates the curvature at each contour point of the object in
the digitized binary image in order to detect the vertexes. Reconstruction
of the shape of overlapping objects is then based on geometrical considerations
using the information from the vertex co-ordinates. The procedure is
independent of the size and orientation of the objects. The method is applied
to the shape reconstruction of partially overlapping tabular silver halide
microcrystals
Shape reconstruction of partially overlapping objects in SEM images: application to silver halide microcrystals
A method for shape reconstruction and extraction from objects that have
a certain regularity but are observed in a scanning electron microscopy
image with some degree of overlap is presented. The proposed algorithm
first calculates the curvature at each contour point of the object in
the digitized binary image in order to detect the vertexes. Reconstruction
of the shape of overlapping objects is then based on geometrical considerations
using the information from the vertex co-ordinates. The procedure is
independent of the size and orientation of the objects. The method is applied
to the shape reconstruction of partially overlapping tabular silver halide
microcrystals