Online Color Classification System of Solid Wood Flooring Based on Characteristic Features
Solid wood flooring has good esthetic properties and is an excellent material for interior decoration. To meet the artistic effects of specific interior decoration requirements, the color of solid wood flooring needs to be coordinated. Thus, the color of the produced solid wood flooring needs to be...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/2/336 |
| _version_ | 1827604328296218624 |
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| author | Zilong Zhuang Ying Liu Fenglong Ding Zhengguang Wang |
| author_facet | Zilong Zhuang Ying Liu Fenglong Ding Zhengguang Wang |
| author_sort | Zilong Zhuang |
| collection | DOAJ |
| description | Solid wood flooring has good esthetic properties and is an excellent material for interior decoration. To meet the artistic effects of specific interior decoration requirements, the color of solid wood flooring needs to be coordinated. Thus, the color of the produced solid wood flooring needs to be sorted to meet the individual needs of customers. In this work, machine vision, deep learning methods, and ensemble learning methods are introduced to reduce the cost of manual sorting and improve production efficiency. The color CCD camera was used to collect 108 solid wood floors of three color grades provided by the company and obtained 108 18,000 × 2048 pixel wood images. A total of 432 images were obtained after data expansion. Deep learning methods, such as VGG16, DenseNet121, and XGBoost, were compared. After using XGBoost to filter the features, the accuracy of solid wood flooring color classification was 97.22%, the training model time was 5.27 s, the average test time for each picture was 51 ms, and a good result was achieved. |
| first_indexed | 2024-03-09T05:58:32Z |
| format | Article |
| id | doaj.art-a72f7d48b3d04fefb73810188158941d |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T05:58:32Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a72f7d48b3d04fefb73810188158941d2023-12-03T12:12:02ZengMDPI AGSensors1424-82202021-01-0121233610.3390/s21020336Online Color Classification System of Solid Wood Flooring Based on Characteristic FeaturesZilong Zhuang0Ying Liu1Fenglong Ding2Zhengguang Wang3College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, ChinaSolid wood flooring has good esthetic properties and is an excellent material for interior decoration. To meet the artistic effects of specific interior decoration requirements, the color of solid wood flooring needs to be coordinated. Thus, the color of the produced solid wood flooring needs to be sorted to meet the individual needs of customers. In this work, machine vision, deep learning methods, and ensemble learning methods are introduced to reduce the cost of manual sorting and improve production efficiency. The color CCD camera was used to collect 108 solid wood floors of three color grades provided by the company and obtained 108 18,000 × 2048 pixel wood images. A total of 432 images were obtained after data expansion. Deep learning methods, such as VGG16, DenseNet121, and XGBoost, were compared. After using XGBoost to filter the features, the accuracy of solid wood flooring color classification was 97.22%, the training model time was 5.27 s, the average test time for each picture was 51 ms, and a good result was achieved.https://www.mdpi.com/1424-8220/21/2/336wood color classificationXGBoostcolor feature |
| spellingShingle | Zilong Zhuang Ying Liu Fenglong Ding Zhengguang Wang Online Color Classification System of Solid Wood Flooring Based on Characteristic Features Sensors wood color classification XGBoost color feature |
| title | Online Color Classification System of Solid Wood Flooring Based on Characteristic Features |
| title_full | Online Color Classification System of Solid Wood Flooring Based on Characteristic Features |
| title_fullStr | Online Color Classification System of Solid Wood Flooring Based on Characteristic Features |
| title_full_unstemmed | Online Color Classification System of Solid Wood Flooring Based on Characteristic Features |
| title_short | Online Color Classification System of Solid Wood Flooring Based on Characteristic Features |
| title_sort | online color classification system of solid wood flooring based on characteristic features |
| topic | wood color classification XGBoost color feature |
| url | https://www.mdpi.com/1424-8220/21/2/336 |
| work_keys_str_mv | AT zilongzhuang onlinecolorclassificationsystemofsolidwoodflooringbasedoncharacteristicfeatures AT yingliu onlinecolorclassificationsystemofsolidwoodflooringbasedoncharacteristicfeatures AT fenglongding onlinecolorclassificationsystemofsolidwoodflooringbasedoncharacteristicfeatures AT zhengguangwang onlinecolorclassificationsystemofsolidwoodflooringbasedoncharacteristicfeatures |