Bubble Defects Inspection on LED Sealing Glue Images

碩士 === 國立雲林科技大學 === 資訊工程系碩士班 === 100 === Bubble defect inspection is an important step in light-emitting diode (LED) packaging processes. It is difficult to detect bubble defects because bubbles are transparent and have irregular shape in LED sealing glue images. Traditionally, experienced engineers...

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Bibliographic Details
Main Authors: Yi-Feng Lin, 林宜鋒
Other Authors: Chuan-Yu Chang
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/97676775986568405068
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spelling ndltd-TW-100YUNT53920292015-10-13T21:56:01Z http://ndltd.ncl.edu.tw/handle/97676775986568405068 Bubble Defects Inspection on LED Sealing Glue Images LED膠體封裝影像中氣泡缺陷檢測 Yi-Feng Lin 林宜鋒 碩士 國立雲林科技大學 資訊工程系碩士班 100 Bubble defect inspection is an important step in light-emitting diode (LED) packaging processes. It is difficult to detect bubble defects because bubbles are transparent and have irregular shape in LED sealing glue images. Traditionally, experienced engineers visually check defect regions and exclude defective elements. However, the inspection processes are costly and time-consuming. This paper proposes an automatic bubble defect inspection method for LED sealing glue images. The system automatic locates the sealing glue region. A decision tree is adopted to outline regions of interest (ROI), and many textural and geometric features are extracted from the ROIs. A support-vector-machine (SVM) is used to classify the ROIs as acceptable or defective. Experimental results demonstrate effectiveness of the proposed approach. Chuan-Yu Chang 張傳育 2012 學位論文 ; thesis 62 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立雲林科技大學 === 資訊工程系碩士班 === 100 === Bubble defect inspection is an important step in light-emitting diode (LED) packaging processes. It is difficult to detect bubble defects because bubbles are transparent and have irregular shape in LED sealing glue images. Traditionally, experienced engineers visually check defect regions and exclude defective elements. However, the inspection processes are costly and time-consuming. This paper proposes an automatic bubble defect inspection method for LED sealing glue images. The system automatic locates the sealing glue region. A decision tree is adopted to outline regions of interest (ROI), and many textural and geometric features are extracted from the ROIs. A support-vector-machine (SVM) is used to classify the ROIs as acceptable or defective. Experimental results demonstrate effectiveness of the proposed approach.
author2 Chuan-Yu Chang
author_facet Chuan-Yu Chang
Yi-Feng Lin
林宜鋒
author Yi-Feng Lin
林宜鋒
spellingShingle Yi-Feng Lin
林宜鋒
Bubble Defects Inspection on LED Sealing Glue Images
author_sort Yi-Feng Lin
title Bubble Defects Inspection on LED Sealing Glue Images
title_short Bubble Defects Inspection on LED Sealing Glue Images
title_full Bubble Defects Inspection on LED Sealing Glue Images
title_fullStr Bubble Defects Inspection on LED Sealing Glue Images
title_full_unstemmed Bubble Defects Inspection on LED Sealing Glue Images
title_sort bubble defects inspection on led sealing glue images
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/97676775986568405068
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