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首页> 外文期刊>Journal of food engineering >A machine vision system for identification of micro-crack in egg shell
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A machine vision system for identification of micro-crack in egg shell

机译:用于识别蛋壳微裂纹的机器视觉系统

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摘要

Cracks or micro-cracks present in chicken egg shell are sources of bacterial contamination which has adverse effect to consumer's health. One egg system vacuum pressure chamber was fabricated to force open the micro-crack in egg shell and machine vision system was developed to acquire the image. Vacuum pressure of 18 kPa was applied to force open the crack. Two hundred chicken eggs ranging in color from white to brown, intact and cracked, dirty and clean were collected as samples. A robust algorithm was developed to extract the micro-crack from the image without being affected by the presence of dirt in the egg shell. The developed system was able to detect the micro-crack with 100% accuracy without being influenced by the presence of dirt in the egg shell. The developed system can be a milestone for developing egg sorting machines on the basis of presence-absence of crack in egg shell.
机译:鸡蛋壳中存在的裂纹或微裂纹是细菌污染的来源,会对消费者的健康产生不利影响。制造了一个鸡蛋系统真空压力室以强制打开鸡蛋壳中的微裂纹,并开发了机器视觉系统以获取图像。施加18 kPa的真空压力以强制打开裂缝。收集了200个鸡蛋,样本颜色从白色到棕色,完整且破裂,肮脏和干净。开发了一种鲁棒的算法,可以从图像中提取微裂纹,而不受蛋壳中污垢的影响。开发的系统能够以100%的精度检测微裂纹,而不受蛋壳中污垢的影响。所开发的系统可以成为基于蛋壳无裂纹的蛋分选机开发的里程碑。

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