Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
529440 | Image and Vision Computing | 2008 | 8 Pages |
Abstract
A morphological image processing based method for determining the positions of myosin filaments in electron micrographs of muscle cross-sections is described. The filaments are embedded in a noisy and variable background in the images, but lie on a relatively regular lattice. The filament positions are determined by a novel implementation of morphological grayscale reconstruction in which a threshold is optimised by using the lattice regularity of the derived filament markers. This approach leads to a robust algorithm. The method is applied to a number of muscle micrographs.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
B. Bödvarsson, S. Klim, M. Mørkebjerg, S. Mortensen, C.H. Yoon, J. Chen, J.R. Maclaren, P.K. Luther, J.M. Squire, P.J. Bones, R.P. Millane,