Starfruit Grading Based on 2-Dimensional Color Map

Abstract

This paper present a grading technique on starfruit based on image processing. 2-dimensional color map is used in order to classify the starfruit into its ripe index. Referring to standard introduced by FAMA, there are six ripe indexes to code in. The color map is based on 8-bit RGB color space where blue component is discarded to simplify the computation process. This paper also shows that calculating the average chromaticity for the 2-dimensional color map (RG map) can determine the most concentrated color in each of the ripe index. The chromaticity value is then used to segment the starfruit image to reduce the amount of the color. From the segmented image,the starfruit is classified into its ripe index.