基于计算机视觉的干无花果自动质量检测的研究

Computer Vision for Automatic Quality Inspection of Dried Figs

该文主要研究了基于计算机视觉的干无花果自动检测系统,用来提高无花果的质量监控。首先,基于色彩评估对无花果进行定性鉴别,通过使用数字照相机与常规仪器方法获得的彩色图像进行分析比较。然后,使用基于PCA和PLS-DA的方法进行分析对比。结果表明,根据颜色属性,色度计和图像分析都可以完全区分高质量和劣质干无花果。

This work reports the development of automated systems based on computer vision to improve the quality control.The first was based on qualitative discrimination of figs through colour assessment comparing the analysis of colour images obtained using a digital camera with those obtained according to conventional instrumental methods.And then,analysed using PCA and PLS-DA based methods.The results showed that both chroma meter and image analysis allowed a complete distinction between high quality and deteriorated figs,according to colour attributes.