Semantic Segmentation of a Printed Circuit Board for Component Recognition Based on Depth Images

Semantic Segmentation of a Printed Circuit Board for Component Recognition Based on Depth Images

Locating and identifying the components mounted on a printed circuit board (PCB) based on machine vision is an important and challenging problem for automated PCB inspection and automated PCB recycling. In this paper, we propose a PCB semantic segmentation method based on depth images that segments...

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Bibliographic Details
Main Authors: Dongnian Li, Changming Li, Chengjun Chen, Zhengxu Zhao
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
PCB
component recognition
semantic segmentation
pixel classification
random decision forest
depth image
Online Access:https://www.mdpi.com/1424-8220/20/18/5318

Internet

https://www.mdpi.com/1424-8220/20/18/5318

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