Judgment on level of maturity for tomato quality using L*a*b* color image processing

Abstract

This paper was described the judgment of Maturity for Tomato quality using color image processing. The image analysis were used for the RGB and L*a*b* color system. In the analyzes, the pixels count of G(36) showed the highest correlation coefficient from tomato maturity. But, the average value of a* of the tomato upper surface was more accurate maturity index than the radical regression curve of G(36).