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Study on the Fruit Recognition System Based on Machine Vision

机译:基于机器视觉的果实识别系统研究

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The study proposed that the current development of fruit requires the fast and efficient methods to test the varieties of fruits, which can combine the image processing and computer machine vision technology together to be applied in the field of fruit varieties detection domain, so as to be consistent with this new trend. In this research, In terms of the fruit detection based on Haar-like characteristics, PCA method is mainly used in fruit recognition and used to detect citrus.
机译:该研究提出,目前的果实发展需要快速有效的方法来测试水果品种,可以将图像处理和计算机电机视觉技术组合在一起,以应用于果实检测域的领域,以便与这种新趋势一致。在本研究中,就基于哈尔样特性的果实检测而言,PCA方法主要用于果实识别并用于检测柑橘。

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