Development of computerized wood colour sorting system for Malaysian wood industry / Liew Shaer Jin
Wood colour sorting is essential in woodworking to maintain uniformity and consistency in the appearance of the final products, thus, improving consumer satisfaction. Majority of the wood manufacturing companies in Malaysia are depending heavily on manual colour sorting that solely relies on huma...
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2024
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| Online Access: | http://studentsrepo.um.edu.my/15611/2/Liew_Shaer_Jin.pdf http://studentsrepo.um.edu.my/15611/1/Liew_Shaer_Jin.pdf http://studentsrepo.um.edu.my/15611/ |
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| _version_ | 1831436672233897984 |
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| author | Liew , Shaer Jin |
| author_facet | Liew , Shaer Jin |
| author_sort | Liew , Shaer Jin |
| building | UM Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaya |
| content_source | UM Student Repository |
| continent | Asia |
| country | Malaysia |
| description | Wood colour sorting is essential in woodworking to maintain uniformity and
consistency in the appearance of the final products, thus, improving consumer
satisfaction. Majority of the wood manufacturing companies in Malaysia are depending
heavily on manual colour sorting that solely relies on human visual inspection, which can
be subjective, inconsistent, laborious, and subject to errors. Automation is a goal,
however, the cost for implementation of established technologies is always extortionate
especially for small and medium industries (SMI). Therefore, the aim of this research is
to develop a computerized vision system to perform colour sorting for multi-scale
woodworking facilities. To achieve the research goal, our objectives are set to determine
a suitable algorithm for colour features classification, to select the best features which
contribute the most in the classification and to compare the effect of different cameras in
the performance of the colour sorting. We have compared camera of different genres,
namely an industrial camera, a prosumer action camera, and a webcam. Three cameras
used were: i) Hikrobot® MV-CE200-10UC (CE200), ii) Logitech® C920 HD Pro
(C920), and iii) Sony® RX0 II (RX0 II). After setting up a veneer imaging prototype, a
total of 1,289 distinct images of American red oak (Quercus rubra), yellow poplar
(Liriodendron tulipifera), and maple (Acer spp.) were acquired from each camera,
summing up to 3,867 images from all cameras. After performing image preparations and
calibrations, 26 features were extracted from each image. The features were based on the
average and standard deviation of the wood basal colour and wood grain colour. Salient
features were obtained using Sequential Forward Selection (SFS), which were then used
to train a Self-Organizing Map (SOM). The results affirmed that the colour of the basal
colour is highly correlated with human sorted colour groups. As expected, CE200
performed the best being of industrial grade. Interestingly, C920 exhibited comparable
performance to CE200. RX0 II performed the worst due to its interface software limitations. This proposed system achieved accuracies of 89.0% for red oak, 94.3% for
yellow poplar and 96.4% for maple. This research will assist the SMI to develop
affordable vision systems for colour sorting.
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| format | Thesis |
| id | my.um.stud-15611 |
| institution | Universiti Malaya |
| publishDate | 2024 |
| record_format | eprints |
| spelling | my.um.stud-156112025-03-16T20:32:18Z Development of computerized wood colour sorting system for Malaysian wood industry / Liew Shaer Jin Liew , Shaer Jin HD Industries. Land use. Labor TJ Mechanical engineering and machinery Wood colour sorting is essential in woodworking to maintain uniformity and consistency in the appearance of the final products, thus, improving consumer satisfaction. Majority of the wood manufacturing companies in Malaysia are depending heavily on manual colour sorting that solely relies on human visual inspection, which can be subjective, inconsistent, laborious, and subject to errors. Automation is a goal, however, the cost for implementation of established technologies is always extortionate especially for small and medium industries (SMI). Therefore, the aim of this research is to develop a computerized vision system to perform colour sorting for multi-scale woodworking facilities. To achieve the research goal, our objectives are set to determine a suitable algorithm for colour features classification, to select the best features which contribute the most in the classification and to compare the effect of different cameras in the performance of the colour sorting. We have compared camera of different genres, namely an industrial camera, a prosumer action camera, and a webcam. Three cameras used were: i) Hikrobot® MV-CE200-10UC (CE200), ii) Logitech® C920 HD Pro (C920), and iii) Sony® RX0 II (RX0 II). After setting up a veneer imaging prototype, a total of 1,289 distinct images of American red oak (Quercus rubra), yellow poplar (Liriodendron tulipifera), and maple (Acer spp.) were acquired from each camera, summing up to 3,867 images from all cameras. After performing image preparations and calibrations, 26 features were extracted from each image. The features were based on the average and standard deviation of the wood basal colour and wood grain colour. Salient features were obtained using Sequential Forward Selection (SFS), which were then used to train a Self-Organizing Map (SOM). The results affirmed that the colour of the basal colour is highly correlated with human sorted colour groups. As expected, CE200 performed the best being of industrial grade. Interestingly, C920 exhibited comparable performance to CE200. RX0 II performed the worst due to its interface software limitations. This proposed system achieved accuracies of 89.0% for red oak, 94.3% for yellow poplar and 96.4% for maple. This research will assist the SMI to develop affordable vision systems for colour sorting. 2024-06 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/15611/2/Liew_Shaer_Jin.pdf application/pdf http://studentsrepo.um.edu.my/15611/1/Liew_Shaer_Jin.pdf Liew , Shaer Jin (2024) Development of computerized wood colour sorting system for Malaysian wood industry / Liew Shaer Jin. Masters thesis, Universiti Malaya. http://studentsrepo.um.edu.my/15611/ |
| spellingShingle | HD Industries. Land use. Labor TJ Mechanical engineering and machinery Liew , Shaer Jin Development of computerized wood colour sorting system for Malaysian wood industry / Liew Shaer Jin |
| title | Development of computerized wood colour sorting system for Malaysian wood industry / Liew Shaer Jin |
| title_full | Development of computerized wood colour sorting system for Malaysian wood industry / Liew Shaer Jin |
| title_fullStr | Development of computerized wood colour sorting system for Malaysian wood industry / Liew Shaer Jin |
| title_full_unstemmed | Development of computerized wood colour sorting system for Malaysian wood industry / Liew Shaer Jin |
| title_short | Development of computerized wood colour sorting system for Malaysian wood industry / Liew Shaer Jin |
| title_sort | development of computerized wood colour sorting system for malaysian wood industry / liew shaer jin |
| topic | HD Industries. Land use. Labor TJ Mechanical engineering and machinery |
| url | http://studentsrepo.um.edu.my/15611/2/Liew_Shaer_Jin.pdf http://studentsrepo.um.edu.my/15611/1/Liew_Shaer_Jin.pdf http://studentsrepo.um.edu.my/15611/ |
| url_provider | http://studentsrepo.um.edu.my/ |