| Summary: | 碩士 === 中原大學 === 通訊工程碩士學位學程 === 103 === During the automatic packing of eggs, quality of eggs may vary during the conveying processes, resulting in good or crack eggs. In this study, a vision-based system for the automatic inspection of egg packs using image processing techniques is presented. The objective is to automatically classify if an egg in a pack is good or crack. The method includes: egg region localization, egg region correction, egg region segmentation, and egg quality classification. A set of images containing six-egg packs was formed for the performance evaluation. The preliminary results showed that our system could achieve a reasonable classification rate of 86% for good eggs and 100% for crack eggs, respectively. In conclusion, although this study is still preliminary, our system has the potentials to be incorporated in an egg packing conveyor to ease the labor-intensive and time-consuming tasks for quality controls.
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