Automatic visual inspection of corn kernels using principal component analysis
2012
This paper presents an approach that combines algorithm-based computer vision techniques and principle component analysis (PCA) to eliminate poor quality corn kernels. Experiments show that the method is promising (89% success) but extensions are recommended to further improve results.
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