.png){kind=icon}
Return
A deformable block-matching algorithm for tracking epithelial cells
.png){kind=icon}
PRE
AI
DOI：10.1016/S0262-8856(98)00164-4.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
A deformable block-matching algorithm based on the notion of a deformation tensor was developed to track embryonic cells from one time lapse-image to another and from one viewing angle to another. The algorithm makes use of a bi-linear transformation to geometrically deform the pattern between the source and target images and a cross-correlation, block-matching algorithm to select the best match. When used to track natural variations in surface pigmentation that occur on axolotl (Ambystoma mexicanum) embryos, depending on the image magnification, the algorithm will accurately track details of cell boundaries, or groups of many cells. (C) 1999 Elsevier Science B.V. All rights reserved.
Keywords:
block-matching
bi-linear transformation
cell tracking
time-lapse videography
strain tensor
Journal
IF:
4.2
Papers:
4.1K
Citations:
6.7K
Organization
No organization information available
Cited Papers
.png){kind=icon}
ShareSaveStructural characterization of CxByNz (x=0.1 to x=0.2) layers obtained by laser-driven synthesis
PREAI
ShareSaveShareSaveShareSave
ShareSaveShareSaveShareSave
View more