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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51431

Title: A Systematic Methodology for Determining/Optimizing a Machine Vision System's Capability
Authors: Bernard C. Jiang
Michael Yau -Ren Shiau
Contributors: 國立臺灣海洋大學:海洋文創設計產業學士學位學程
Keywords: machine vision
Taguchi methods
accuracy
repeatability
capability
Date: 1990-09
Issue Date: 2018-11-28T08:15:09Z
Publisher: International Journal of Machine Vision Applications
Abstract: Abstract: This paper presents a systematic methodology based on Taguchi methods to determine and optimize a machine vision system's capability. Seven factors were studied in anL27(313) orthogonal array: lens type, color of the background, distance between two objects on the target, distance between the camera and the target, filter, lighting source, and angle between the optic axis of the camera and the surface of the target. The optimal factor-level combination was determined from the experiment results, and the response surface plots were provided for a user to choose an alternative. Because this Taguchi methods-based methodology is simple and effective, it is recommended for determining and optimizing a machine vision system's capability.
Relation: 3(3) pp.169–182
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51431
Appears in Collections:[海洋文創設計產業學士學位學程(學系)] 期刊論文

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