| A review of non-destructive imaging methods for fruit damage detection |
| Paper ID : 1156-NICAME1402 |
| Authors: |
|
Seyyed Alireza Ghaffarian nia *1, Yegane Tarandakzad2, Shahin Rafiee3 1Department of Mechanical Engineering of Biosystems, University of Tehran, Tehran, Iran 2Department of Biosystems Engineering, Ferdowsi University of Mashhad, Mashhad, Iran 3University of Tehran |
| Abstract: |
| Fruit damage detection is critical in the food industry to ensure product quality before reaching the consumer. Many fruits are vulnerable to various factors and forces that may occur during transportation. In recent years, non-destructive imaging techniques have emerged as a promising alternative for fruit damage detection. These techniques use advanced imaging technology and image processing algorithms to detect and quantify various types of fruit damage, including bruising, cuts and cracks. Non-destructive techniques such as Biospeckle, X-ray imaging, hyperspectral imaging (HSI) and thermal imaging (TI) are non-destructive testing for fruits. In this study, the examination of techniques in fruit damage detection, their precise tools and steps related to image processing and analysis are focused on. The concluding sections highlight the limitations and future prospects of each technique. Biospeckle, HSI, and TI techniques can detect the surface damage of fruit skin by the depth of light penetration. HSI spectrum is useful in detecting defects and fruit quality parameters. TI can detect even minor damage in fruit, but it is not suitable for industrial lines. Conversely, X-ray imaging can detect internal damage to the fruit. This technique's applications and other non-destructive methods effectively identify damaged fruits without human intervention and prevent them from entering the processing line. |
| Keywords: |
| Imaging, non-destructive tests, image processing, image analysis, fruit |
| Status : Paper Accepted (Poster Presentation) |
