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Nondestructive and rapid detection of potato black heart based on machine vision technology

机译：基于机器视觉技术的马铃薯黑心无损快速检测

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Potatoes are one of the major food crops in the world. Potato black heart is a kind of defect that the surface is intact while the tissues in skin become black. This kind of potato has lost the edibleness, but it's difficult to be detected with conventional methods. A nondestructive detection system based on the machine vision technology was proposed in this study to distinguish the normal and black heart of potatoes according to the different transmittance of them. The detection system was equipped with a monochrome CCD camera, LED light sources for transmitted illumination and a computer. Firstly, the transmission images of normal and black heart potatoes were taken by the detection system. Then the images were processed by algorithm written with VC++. As the transmitted light intensity was influenced by the radial dimension of the potato samples, the relationship between the grayscale value and the potato radial dimension was acquired by analyzing the grayscale value changing rule of the transmission image. Then proper judging condition was confirmed to distinguish the normal and black heart of potatoes after image preprocessing. The results showed that the nondestructive system built coupled with the processing methods was accessible for the detection of potato black heart at a considerable accuracy rate. The transmission detection technique based on machine vision is nondestructive and feasible to realize the detection of potato black heart.
机译：马铃薯是世界上主要的粮食作物之一。马铃薯黑心病是一种表面缺陷，而皮肤组织变黑的缺陷。这种马铃薯失去了食用性，但是很难用常规方法检测出来。本研究提出了一种基于机器视觉技术的无损检测系统，根据马铃薯的透射率不同来区分马铃薯的正常心脏和黑心。该检测系统配备了单色CCD摄像机，用于透射照明的LED光源和计算机。首先，通过检测系统获取正常和黑心马铃薯的透射图像。然后通过用VC ++编写的算法处理图像。由于透射光强度受马铃薯样品径向尺寸的影响，通过分析透射图像的灰度值变化规律，获得了灰度值与马铃薯径向尺寸的关系。然后确定适当的判断条件，以区分图像预处理后的马铃薯正常心和黑心。结果表明，结合加工方法构建的无损检测系统可以以相当高的准确率检测马铃薯黑心病。基于机器视觉的透射检测技术是无损的，可以实现马铃薯黑心检测。

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