A Study of Light Level Effect on the Accuracy of Image Processing-based Tomato Grading

2nd International Conference on Agricultural Engineering for Sustainable Agricultural Production

Prijatna, D.^1 ; Muhaemin, M.^1 ; Wulandari, R.P.^1 ; Herwanto, T.^1 ; Saukat, M.^1 ; Sugandi, W.K.^1

Department of Agricultural and Bio-system Engineering, Faculty of Agro-Industrial Technology, Universitas Padjadjaran, Jatinangor Campus, Indonesia^1

关键词: Classification accuracy;    Image capturing;    Image characteristics;    Image processing;    methods;    Light intensity;    Non-destructive test;    Research results;    Varying lights;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/147/1/012005/pdf
DOI  :  10.1088/1755-1315/147/1/012005

来源: IOP

【 摘 要 】

Image processing method has been used in non-destructive tests of agricultural products. Compared to manual method, image processing method may produce more objective and consistent results. Image capturing box installed in currently used tomato grading machine (TEP-4) is equipped with four fluorescence lamps to illuminate the processed tomatoes. Since the performance of any lamp will decrease if its service time has exceeded its lifetime, it is predicted that this will affect tomato classification. The objective of this study was to determine the minimum light levels which affect classification accuracy. This study was conducted by varying light level from minimum and maximum on tomatoes in image capturing boxes and then investigates its effects on image characteristics. Research results showed that light intensity affects two variables which are important for classification, for example, area and color of captured image. Image processing program was able to determine correctly the weight and classification of tomatoes when light level was 30 lx to 140 lx.