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

1Citations
Citations of this article
14Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

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.

Cite

CITATION STYLE

APA

Prijatna, D., Muhaemin, M., Wulandari, R. P., Herwanto, T., Saukat, M., & Sugandi, W. K. (2018). A Study of Light Level Effect on the Accuracy of Image Processing-based Tomato Grading. In IOP Conference Series: Earth and Environmental Science (Vol. 147). Institute of Physics Publishing. https://doi.org/10.1088/1755-1315/147/1/012005

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free