Identify the model of micro robotic gripper using the sequence of microscopic images

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)191-196
Journal / PublicationWSEAS Transactions on Systems
Volume4
Issue number3
Publication statusPublished - Mar 2005
Externally publishedYes

Abstract

This paper reports on the construction of the computer Micro vision system to identify the model micro robotic gripper. Several focus measure algorithm may be used to process the microscopic images. While Sum-Modified-Laplacian (SML) based focus measure is used in sequence of microscopic images for measuring the displacement of the micro robotic griper in this paper. We show the bending curve of the micro actuator with the input current 3mA, 4mA, 5mA.

Research Area(s)

  • Computer micro vision, Micro robotic gripper, Microscopic images, Sum-Modified-Laplacian

Citation Format(s)

Identify the model of micro robotic gripper using the sequence of microscopic images. / Miao, Lei; Dong, ZaiLi; Chan, Hoyin; Li, Wen Jung; Wang, Yuechao.

In: WSEAS Transactions on Systems, Vol. 4, No. 3, 03.2005, p. 191-196.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review