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910 IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 24, NO. 7, JULY 2005 Intravital Leukocyte Detection Using the Gradient
 

Summary: 910 IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 24, NO. 7, JULY 2005
Intravital Leukocyte Detection Using the Gradient
Inverse Coefficient of Variation
Gang Dong, Nilanjan Ray, Member, IEEE, and Scott T. Acton*, Senior Member, IEEE
Abstract--The problem of identifying and counting rolling
leukocytes within intravital microscopy is of both theoretical and
practical interest. Currently, methods exist for tracking rolling
leukocytes in vivo, but these methods rely on manual detection
of the cells. In this paper we propose a technique for accurately
detecting rolling leukocytes based on Bayesian classification. The
classification depends on a feature score, the gradient inverse coef-
ficient of variation (GICOV), which serves to discriminate rolling
leukocytes from a cluttered environment. The leukocyte detection
process consists of three sequential steps: the first step utilizes an
ellipse matching algorithm to coarsely identify the leukocytes by
finding the ellipses with a locally maximal GICOV. In the second
step, starting from each of the ellipses found in the first step, a
B-spline snake is evolved to refine the leukocytes boundaries by
maximizing the associated GICOV score. The third and final step
retains only the extracted contours that have a GICOV score

  

Source: Acton, Scott - Department of Electrical and Computer Engineering, University of Virginia
Ray, Nilanjan - Department of Computing Science, University of Alberta

 

Collections: Computer Technologies and Information Sciences; Engineering