Pretrained Convolutional Neural Networks As Feature Extrator Of Eggshell Mottling Pattern For Quality Inspection
There are technologies available in research in order to have inspection on macro and micro cracks on eggshell. However, there are still some difficulties when coming to inspection on translucent areas where before the micro-cracks happening. Transfer leaning using pre-trianed neural network is used...
Main Author: | Ng, Eng Yeong |
---|---|
Format: | Monograph |
Language: | English |
Published: |
Universiti Sains Malaysia
2019
|
Subjects: | |
Online Access: | http://eprints.usm.my/58451/1/Pretrained%20Convolutional%20Neural%20Networks%20As%20Feature%20Extrator%20Of%20Eggshell%20Mottling%20Pattern%20For%20Quality%20Inspection.pdf |
Similar Items
-
Adaptation of pulling machine for stump extration on peat /
by: 193669 Ooi, H. S.
Published: (1987) -
Eggshell coated grey cast iron for corrosion applications
by: Abu Bakar, T. A., et al.
Published: (2017) -
Classification Of Eggshell Translucent Areas For Quality Determination Using Alexnet
by: Wong, Hsueh Chung
Published: (2018) -
Pattern recognition for bivariate process mean shifts using feature-based artificial neural network
by: Masood, Ibrahim, et al.
Published: (2012) -
Development of an effective inspection plan for pressure vessels according risk-based inspection technology for polyethylene plant
by: Saw, Ping Lih
Published: (2016)