IEEE Systems, Man and Cybernetics Magazine - April 2018 - 24
by Wencheng Wang,
Xiaohui Yuan, Xiaojin Wu,
Tao Ji, and Lin Feng
T
o address the difficulty of separating touching particles in an
image, a method based on the
area ratio of a circular mask is
proposed in this article, and a
framework consisting of image segmentation, concave point detection, point-pair
matching, and the shape estimation of particles is implemented. A given color image
is first preprocessed to obtain a binary
image, then a corner detection algorithm is
adopted to obtain a rough estimation of
potential concave points, following which,
the area ratio method is used to refine segmentation points qualified. The segmentation points obtained are matched to each
pair by gray projection according to a certain evaluation criteria. Finally, each pair
of points and one of their adjacent pixels
on the border are used to estimate the status of each particle before adhesion, and
the contour of each particle is generated
using the curve fitting method. Experimental results show that the proposed method
is consistent with human visual perception
and can be used in the practice.
Separating
Touching Particles
A Concavity-Based Method Using
the Area Ratio of a Circular Mask
Digital Object Identifier 10.1109/MSMC.2018.2794559
Date of publication: 20 April 2018
24
IEEE SyStEmS, man, & CybErnEtICS magazInE A pr il 2 0 1 8
2333-942X/18©2018IEEE
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