Automatic unhulled rice grain crack detection by X-ray imaging
Article
Article Title | Automatic unhulled rice grain crack detection by X-ray imaging |
---|---|
ERA Journal ID | 3442 |
Article Category | Article |
Authors | Pothula, Anand Kumar (Author) and Bal, Satish (Author) |
Journal Title | Transactions of the ASABE |
Journal Citation | 50 (5), pp. 1907-1911 |
Number of Pages | 5 |
Year | 2007 |
Place of Publication | United States |
ISSN | 2151-0032 |
2151-0040 | |
Abstract | Crack detection of incoming paddy (unhulled rice grain) is an important step in the rice milling industry, as paddy grains with cracks severely affect the milling yield. The present method of crack detection by manually dehusking and examining kernels under light is laborious, time consuming, and highly subjective. The potential of x-ray imaging for paddy grain crack detection was investigated. Algorithms were developed for automatic detection of paddy cracks from the x-ray image. Hough transform was used to determine the cracks in the final segmented image. A graphical user interface (GUI) was developed for displaying the number of cracks in the given x-ray image. |
Keywords | cracks, detection, paddy, segmentation, x‐ray. |
ANZSRC Field of Research 2020 | 409901. Agricultural engineering |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Indian Institute of Technology, India |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q5131/automatic-unhulled-rice-grain-crack-detection-by-x-ray-imaging
Download files
Published Version
2007 Automatic unhulled rice grain crack detection by x-ray imaging.pdf | ||
File access level: Anyone |
156
total views140
total downloads1
views this month2
downloads this month