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首页> 外文期刊>Journal of food engineering >Crack detection on unwashed eggs using image processing
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Crack detection on unwashed eggs using image processing

机译：使用图像处理检测未洗鸡蛋的裂纹

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摘要

A machine vision system for egg crack detection based on a modified pressure chamber and a continuously rotating egg was designed and implemented. The proposed system successfully collected surface images of the entire egg surface using only one pressure modification, which reduced the operation time and risk of enlarged cracks. In particular, this work focused on identifying cracks on unwashed eggs that were intact or cracked combined with being dirty. A robust crack detection algorithm was developed which optimized feature selection. The experiments were validated using 750 egg surface images with 94% accuracy and 1.67% false negatives. (C) 2017 Elsevier Ltd. All rights reserved.
机译：设计并实现了基于改进的压力腔和连续旋转的鸡蛋的机器视觉系统，用于鸡蛋裂纹检测。提出的系统仅使用一种压力修改就能成功收集整个蛋表面的表面图像，从而减少了操作时间并减少了裂纹扩大的风险。尤其是，这项工作的重点是识别未洗净的鸡蛋上的裂纹，这些裂纹是完整的或破裂的，再加上脏污的。开发了一种鲁棒的裂纹检测算法，可以优化特征选择。实验使用750个鸡蛋表面图像进行了验证，准确度为94％，假阴性为1.67％。 （C）2017 Elsevier Ltd.保留所有权利。

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