Study of Auto Parts Machine Vision Measurement

碩士 === 國立臺北科技大學 === 電能轉換與控制產業碩士專班 === 102 === This research measures the object standard by using image processing technique to conduct vision measurement, and solves the problem of unqualified object by high pixel precision measurement. We use the auto parts to conduct digital processing, and use o...

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Main Authors: Zong-Xian Lai, 賴宗賢
Other Authors: Yo-Ping Huang
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/xauh9d
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spelling ndltd-TW-102TIT057750062019-05-15T21:42:32Z http://ndltd.ncl.edu.tw/handle/xauh9d Study of Auto Parts Machine Vision Measurement 機械視覺量測汽車零組件之研究 Zong-Xian Lai 賴宗賢 碩士 國立臺北科技大學 電能轉換與控制產業碩士專班 102 This research measures the object standard by using image processing technique to conduct vision measurement, and solves the problem of unqualified object by high pixel precision measurement. We use the auto parts to conduct digital processing, and use object image’s geometry characteristic to filter the result in this research. In addition, to comply with the characteristic of condition, we consider programmable and automatic processing of image objects as our goal. In image capturing system, this research uses image processing to combine NI MAX image capturing system of image parameter to match LabVIEW software measuring object. The hardware uses high resolution CMOS (Complementary Metal-Oxide-Semiconductor) camera to combine frame grabber with Giga-E to capture images. Besides, lighting system is combined with different types of lightening equipment to adjust the most appropriate object lightening parameter. The measurement of this research is the auto parts, through the image that CMOS was taken to conduct and match the parameter of the programs. Then, it was directed against the image conducted to extract, filter, measure, and report the structure of programming on the computer. The experiment results of the accuracy showing that: (1) short egde of the oval diameter is 99.273%, (2) long egde of the oval diameter is 99.027%, (3) the inner diameter is 95.774% and (4) outer diameter is 91.114%. Through the database, we can know the standard of the object every time and can compare with the database system, so as to save the measuring time. And the proposed system can realize the auto image processing in engineering applications. Yo-Ping Huang 黃有評 2014 學位論文 ; thesis 52 zh-TW
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language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺北科技大學 === 電能轉換與控制產業碩士專班 === 102 === This research measures the object standard by using image processing technique to conduct vision measurement, and solves the problem of unqualified object by high pixel precision measurement. We use the auto parts to conduct digital processing, and use object image’s geometry characteristic to filter the result in this research. In addition, to comply with the characteristic of condition, we consider programmable and automatic processing of image objects as our goal. In image capturing system, this research uses image processing to combine NI MAX image capturing system of image parameter to match LabVIEW software measuring object. The hardware uses high resolution CMOS (Complementary Metal-Oxide-Semiconductor) camera to combine frame grabber with Giga-E to capture images. Besides, lighting system is combined with different types of lightening equipment to adjust the most appropriate object lightening parameter. The measurement of this research is the auto parts, through the image that CMOS was taken to conduct and match the parameter of the programs. Then, it was directed against the image conducted to extract, filter, measure, and report the structure of programming on the computer. The experiment results of the accuracy showing that: (1) short egde of the oval diameter is 99.273%, (2) long egde of the oval diameter is 99.027%, (3) the inner diameter is 95.774% and (4) outer diameter is 91.114%. Through the database, we can know the standard of the object every time and can compare with the database system, so as to save the measuring time. And the proposed system can realize the auto image processing in engineering applications.
author2 Yo-Ping Huang
author_facet Yo-Ping Huang
Zong-Xian Lai
賴宗賢
author Zong-Xian Lai
賴宗賢
spellingShingle Zong-Xian Lai
賴宗賢
Study of Auto Parts Machine Vision Measurement
author_sort Zong-Xian Lai
title Study of Auto Parts Machine Vision Measurement
title_short Study of Auto Parts Machine Vision Measurement
title_full Study of Auto Parts Machine Vision Measurement
title_fullStr Study of Auto Parts Machine Vision Measurement
title_full_unstemmed Study of Auto Parts Machine Vision Measurement
title_sort study of auto parts machine vision measurement
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/xauh9d
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