Computer vision methods for optical microscopes

被引：23

作者：

Boissenin, M. ^{[1
]}

Wedekind, J. ^{[1
]}

Selvan, A. N. ^{[1
]}

Amavasai, B. P. ^{[1
]}

Caparrelli, F. ^{[1
]}

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

机构：

[1] Sheffield Hallam Univ, Microsyst & Machine Vis Lab, Mat & Engn Res Inst, Sheffield S1 1WB, S Yorkshire, England

来源：

IMAGE AND VISION COMPUTING | 2007年 / 25卷 / 07期

关键词：

computer vision; microscope imaging; micro-robotics; tracking; depth estimation;

D O I：

10.1016/j.imavis.2006.03.009

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

As the fields of micro- and nano-technology mature, there will be an increased need to build tools that are able to work in these areas. Industry will require solutions for assembling and manipulating components, much as it has done in the macro range. With this need in mind, a new set of challenges requiring novel solutions have to be met. One of them is the ability to provide closed-loop feedback control for manipulators. We foresee that machine vision will play a leading role in this area. This paper introduces a technique for integrating machine vision into the field of micro-technology including two methods, one for tracking and one for depth reconstruction under an optical microscope. (C) 2006 Elsevier B.V. All rights reserved.

引用

页码：1107 / 1116

页数：10

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