3D reconstruction of fruit shape based on vision and edge sections
The fruit industry has been known as one of the largest businesses in Malaysia, where most of the fruits pass through the peeling process well in advance before the final product as juice in a bottle or slices in a can. The current industrial fruit peeling techniques are passive and inefficient by c...
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2022
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my.upm.eprints.1000592024-08-05T02:03:00Z http://psasir.upm.edu.my/id/eprint/100059/ 3D reconstruction of fruit shape based on vision and edge sections Nasr Ali, Nasr Abdalmanan Kamarudin, Kamarulzaman Chee, Kiang Lam Muhamad Azmi, Muhamad Safwan Ismail, Abdul Halim Abdul Rahim, Norasmadi Wan Yahya, Wan Mohd Nooriman Goh, Kheng Sneah Moey, Lip Seng Teoh, Phaik Hai Ong, Thean Lye Noor Hasnan, Noor Zafira The fruit industry has been known as one of the largest businesses in Malaysia, where most of the fruits pass through the peeling process well in advance before the final product as juice in a bottle or slices in a can. The current industrial fruit peeling techniques are passive and inefficient by cutting parts of the pulp of the fruit with peels leading to losses. To avoid this issue, a multi-axis CNC fruit peeler can be used to precisely peel the outer layer with the guidance of a 3D virtual model of fruit. In this work, a new cost-effective method of 3D image reconstruction was developed to convert 36 fruit images captured by a normal RGB camera to a 3D model by capturing a single image every 10 degrees of fruit rotation along a fixed axis. The point cloud data extracted with edge detection were passed to Blender 3D software for meshing in different approaches. The vertical link frame meshing method developed in this research proved a qualitative similarity between the output result and the scanned fruit in a processing time of less than 50 seconds. bilingual publishing 2022-04 Article PeerReviewed Nasr Ali, Nasr Abdalmanan and Kamarudin, Kamarulzaman and Chee, Kiang Lam and Muhamad Azmi, Muhamad Safwan and Ismail, Abdul Halim and Abdul Rahim, Norasmadi and Wan Yahya, Wan Mohd Nooriman and Goh, Kheng Sneah and Moey, Lip Seng and Teoh, Phaik Hai and Ong, Thean Lye and Noor Hasnan, Noor Zafira (2022) 3D reconstruction of fruit shape based on vision and edge sections. Journal of Electronic & Information Systems, 4 (1). 26 - 32. ISSN 2661-3204 https://journals.bilpubgroup.com/index.php/jeis/article/view/4585 10.30564/jeisr.v4i1.4585 |
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The fruit industry has been known as one of the largest businesses in Malaysia, where most of the fruits pass through the peeling process well in advance before the final product as juice in a bottle or slices in a can. The current industrial fruit peeling techniques are passive and inefficient by cutting parts of the pulp of the fruit with peels leading to losses. To avoid this issue, a multi-axis CNC fruit peeler can be used to precisely peel the outer layer with the guidance of a 3D virtual model of fruit. In this work, a new cost-effective method of 3D image reconstruction was developed to convert 36 fruit images captured by a normal RGB camera to a 3D model by capturing a single image every 10 degrees of fruit rotation along a fixed axis. The point cloud data extracted with edge detection were passed to Blender 3D software for meshing in different approaches. The vertical link frame meshing method developed in this research proved a qualitative similarity between the output result and the scanned fruit in a processing time of less than 50 seconds. |
| format |
Article |
| author |
Nasr Ali, Nasr Abdalmanan Kamarudin, Kamarulzaman Chee, Kiang Lam Muhamad Azmi, Muhamad Safwan Ismail, Abdul Halim Abdul Rahim, Norasmadi Wan Yahya, Wan Mohd Nooriman Goh, Kheng Sneah Moey, Lip Seng Teoh, Phaik Hai Ong, Thean Lye Noor Hasnan, Noor Zafira |
| spellingShingle |
Nasr Ali, Nasr Abdalmanan Kamarudin, Kamarulzaman Chee, Kiang Lam Muhamad Azmi, Muhamad Safwan Ismail, Abdul Halim Abdul Rahim, Norasmadi Wan Yahya, Wan Mohd Nooriman Goh, Kheng Sneah Moey, Lip Seng Teoh, Phaik Hai Ong, Thean Lye Noor Hasnan, Noor Zafira 3D reconstruction of fruit shape based on vision and edge sections |
| author_facet |
Nasr Ali, Nasr Abdalmanan Kamarudin, Kamarulzaman Chee, Kiang Lam Muhamad Azmi, Muhamad Safwan Ismail, Abdul Halim Abdul Rahim, Norasmadi Wan Yahya, Wan Mohd Nooriman Goh, Kheng Sneah Moey, Lip Seng Teoh, Phaik Hai Ong, Thean Lye Noor Hasnan, Noor Zafira |
| author_sort |
Nasr Ali, Nasr Abdalmanan |
| title |
3D reconstruction of fruit shape based on vision and edge sections |
| title_short |
3D reconstruction of fruit shape based on vision and edge sections |
| title_full |
3D reconstruction of fruit shape based on vision and edge sections |
| title_fullStr |
3D reconstruction of fruit shape based on vision and edge sections |
| title_full_unstemmed |
3D reconstruction of fruit shape based on vision and edge sections |
| title_sort |
3d reconstruction of fruit shape based on vision and edge sections |
| publisher |
bilingual publishing |
| publishDate |
2022 |
| url |
http://psasir.upm.edu.my/id/eprint/100059/ https://journals.bilpubgroup.com/index.php/jeis/article/view/4585 |
| _version_ |
1806690476225462272 |
| score |
13.211869 |