Yong, Wen Xin (2021) Multiple view image acquisition rig with image stitching capability for 360 degrees artificial views of chili plant using embedded system. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)
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Multiple view image acquisition rig with image stitching capability for 360 degrees artificial views of chili plant using embedded system.pdf - Submitted Version Download (474kB) |
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Multiple view image acquisition rig with image stitching capability for 360 degrees artificial views of chili plant using embedded system.pdf - Submitted Version Restricted to Repository staff only Download (4MB) |
Abstract
Chili production is vital to Malaysian economy as the national consumption has steadily increased over the years. One of the way to increase productivity is to have an efficient pest control system. Damages on chili plants are difficult to monitor manually due to the vast amount of plants per plantation. Thus, a 360-degree monitoring system with image stitching is studied in this project to augment the pest control system in chili plantation. Images were taken from an embedded camera system and the image stitching algorithm is performed on those images to obtain the overall view of the plant. This project had implemented multiple shots with a camera and evaluated the performance of image stitching using universal image quality index by using mean squared error, MSE and strutural similarity index metric, SSIM. From the experiments conducted, the most accurate of stitched image scored MSE = 213.34 and SSIM = 0.8 in comparison to the original image.
Item Type: | Final Year Project (Project Report) |
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Uncontrolled Keywords: | Stitching, Pest, Image, Chili, Plants, Index, Images, Camera, Productivity, Plantation |
Divisions: | Library > Final Year Project > FKE |
Depositing User: | Sabariah Ismail |
Date Deposited: | 09 Nov 2022 03:25 |
Last Modified: | 09 Nov 2022 03:25 |
URI: | http://digitalcollection.utem.edu.my/id/eprint/26137 |
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