Summary: 562 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 13, NO. 4, APRIL 2004
Level Set Analysis for Leukocyte
Detection and Tracking
Dipti Prasad Mukherjee, Senior Member, IEEE, Nilanjan Ray, Member, IEEE, and Scott T. Acton, Senior Member, IEEE
Abstract--We propose a cell detection and tracking solution
using image-level sets computed via threshold decomposition.
In contrast to existing methods where manual initialization is
required to track individual cells, the proposed approach can
automatically identify and track multiple cells by exploiting the
shape and intensity characteristics of the cells. The capture of the
cell boundary is considered as an evolution of a closed curve that
maximizes image gradient along the curve enclosing a homoge-
neous region. An energy functional dependent upon the gradient
magnitude along the cell boundary, the region homogeneity within
the cell boundary and the spatial overlap of the detected cells is
minimized using a variational approach. For tracking between
frames, this energy functional is modified considering the spatial
and shape consistency of a cell as it moves in the video sequence.
The integrated energy functional complements shape-based
segmentation with a spatial consistency based tracking technique.