Scientific Publications
Image Segmentation of Bananas in a Crate Using a Multiple Threshold Method
Journal of Food Process Engineering
In this paper, an automatic segmentation algorithm based on the threshold technique was designed for the image segmentation of bananas in a crate. The pixels of banana and background were selected discretely in the manually segmented regions, and subsequently, nine color features were extracted from RGB, HSV and CIE L*a*b* color space. Three thresholds, which were determined by statistical analysis of B, L* and b* color channel, were used for the design of the automatic segmentation algorithm. The intuitive comparison was applied for the qualitative assessment of segmentation performance. The results showed that the outlines of manually segmented and automatically segmented regions were almost similar to each other. The quantitative evaluation of segmentation performance was carried out by area ratio, and the results demonstrated that the average area ratio of 10 tested samples was more than 80%. These two tested results indicated that the performance of this automatic segmentation algorithm might be acceptable, and this methodology could provide a key technology to realize the real-time quality monitoring and control system in banana ripening rooms.
Journal of Food Process Engineering
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