Automatic ripeness grading of durian pulp using color histograms and density

Grading of durian is an important preprocess in durian production line. In this process, since destructive ways such as manual way, etc lose apart of pulp, processing time and quality, nondestructive way is required. This paper proposes an automatic ripeness grading of durian pulp by using color histograms and density. In this method, both color and density of durian pulp are utilized to classify the pulp ripeness. Since in case of ripe pulp, the color changes from white to yellow and density increase, we employ color obtained from video cameras, density from video cameras and weight measurement unit. Ripe pulp is graded by determining appropriate threshold values of color and density. In the experiments, we can classify the ripeness of durian pulp with 87.5% of accuracy. Copyright (C) 2001 IFAC.