A morphological image processing method for locating myosin filaments in muscle electron micrographs

被引：5

作者：

Bodvarsson, B. ^{[1
]}

Klim, S. ^{[1
]}

Morkebjerg, M. ^{[1
]}

Mortensen, S. ^{[1
]}

Yoon, C. H. ^{[1
]}

Chen, J. ^{[1
]}

Maclaren, J. R. ^{[1
]}

Luther, P. K. ^{[2
]}

Squire, J. M. ^{[3
]}

Bones, P. J. ^{[1
]}

Millane, R. P. ^{[1
]}

机构：

[1] Univ Canterbury, Dept Elect & Comp Engn, Computat Imaging Grp, Christchurch 1, New Zealand

[2] Univ London Imperial Coll Sci Technol & Med, Natl Heart & Lung Inst, London SW7 2AZ, England

[3] Univ Bristol, Dept Physiol, Muscle Contract Grp, Bristol BS8 1TD, Avon, England

来源：

IMAGE AND VISION COMPUTING | 2008年 / 26卷 / 08期

关键词：

image analysis; morphology; electron micrograph; disorder; myosin; muscle;

D O I：

10.1016/j.imavis.2007.11.008

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 [模式识别与智能系统]; 0812 [计算机科学与技术]; 0835 [软件工程]; 1405 [智能科学与技术];

摘要：

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. (C) 2008 Published by Elsevier B.V.

引用

页码：1073 / 1080

页数：8

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