
Proceedings Paper
A component based software framework for vision measurementFormat | Member Price | Non-Member Price |
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Paper Abstract
In vision measurement applications, it is usually used to achieve an optimal result by combing different processing
steps and algorithms .This paper proposes a component based software framework for vision measurement. First,
commonly used processing algorithms of vision measurement are encapsulated into components that contained in a
components library. The component which is designed to have its own properties also provides I/O interfaces for extern
calls. Second, a software bus is proposed which can plug components and assemble them to form a vision measurement
application. Besides components managing and data line linking, the software bus also provides service of message
distribution, which is used to drive all the plugged components working properly. Third, a XML based script language is
proposed to record the plugging and assembling process of a vision measurement application, which can be used to
rebuild the vision measurement application later. At last, based on this framework, an application of landmark extraction
that applied in camera calibration is introduced to show how it works.
Paper Details
Date Published: 15 November 2011
PDF: 10 pages
Proc. SPIE 8321, Seventh International Symposium on Precision Engineering Measurements and Instrumentation, 83212I (15 November 2011); doi: 10.1117/12.905070
Published in SPIE Proceedings Vol. 8321:
Seventh International Symposium on Precision Engineering Measurements and Instrumentation
Kuang-Chao Fan; Man Song; Rong-Sheng Lu, Editor(s)
PDF: 10 pages
Proc. SPIE 8321, Seventh International Symposium on Precision Engineering Measurements and Instrumentation, 83212I (15 November 2011); doi: 10.1117/12.905070
Show Author Affiliations
Lingsong He, Huazhong Univ. of Science and Technology (China)
Lei Bei, Huazhong Univ. of Science and Technology (China)
Published in SPIE Proceedings Vol. 8321:
Seventh International Symposium on Precision Engineering Measurements and Instrumentation
Kuang-Chao Fan; Man Song; Rong-Sheng Lu, Editor(s)
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