Study on Quality Estimation of fruit surface for Strawberry and Tomato in Wave of Near Infrared (NIR)

本研究针对草莓和番茄果实表面的伤痕检测问题进行了研究。在新收获的水果上以受控的方式造成瘀伤。使用被称为光子多重分析仪的光谱仪测量和分析了从擦伤和非擦伤表面反射的光的特征。基于伤痕表面的光谱信息，确定了伤痕检测的关键波长。确定了有效波段的光谱滤光器，在该有效波段处发生了擦伤表面和非擦伤表面之间的恒定区分。滤光片被安装在一台CCD摄像机上，以获取草莓表面的图像。实验结果表明，在近红外光源(NIR)下观察，草莓(明仁出品的宫崎牌)上的瘀伤是可见的。960 nm以上的光谱滤光片能够区分和显示草莓的擦伤和非擦伤表面。在此波长下拍摄的擦伤草莓的图像被从860 nm以上拍摄的图像中减去，以确定草莓的擦伤部分。

This study addresses the problem of detecting bruises on fruit surface of strawberry and tomato. Bruises were caused in a controlled manner on the freshly harvested fruits. The characteristics of reflected light from the bruised and non-bruised surfaces were measured and analyzed using a spectrometer known as photonic multiple analyzer. Based on spectral information of bruised surfaces, the particular wavelengths critical for bruise detection were determined. A spectral filter of the effective wave band at which the constant discrimination between bruised and non-bruised surfaces occurred was identified. The filter was mounted to a CCD camera to acquire images of the strawberry surface. The experimental result indicates that the bruises on strawberries (Akihime produced Miyazaki) become visible when viewed under Near Infrared light source (NIR). The spectral filter above 960 nm was able to discriminate and show bruised and non-bruised surfaces of strawberries. The images of bruised strawberries taken at this wavelength are subtracted from the images taken above 860 nm in order to determine the bruised parts of the strawberries.