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Convolutional encoder-decoder를 이용한 인쇄 회로 기판의 표면 실장 소자 분류SMD segmentation on PCB using convolutional encoder-decoder

Other Titles
SMD segmentation on PCB using convolutional encoder-decoder
Authors
심재준조성민장권규문영식
Issue Date
Jun-2017
Publisher
대한전자공학회
Citation
2017년도 대한전자공학회 하계학술대회 논문집, pp 1241 - 1244
Pages
4
Indexed
OTHER
Journal Title
2017년도 대한전자공학회 하계학술대회 논문집
Start Page
1241
End Page
1244
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/9550
Abstract
We propose a method for a SMD segmentation by using a convolutional encoder-decoder. Our method distinguishs an information and a location of a SMD on the PCB from an optical image. We use the encoder-decoder architecture. The encoding network is based on VGG net. The decoding network is composed of a convolutional transpose and a convolution layer. The proposed method achieves 98.8%, 96.8% precisions about the register and the capacitor.
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COLLEGE OF COMPUTING > SCHOOL OF COMPUTER SCIENCE > 1. Journal Articles

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