Physical properties measurements of okra fruits using image processing to predict of visual maturity index

Abstract

This work was intended to classify okra pods, according to their length and diameter by determining, the measure and image dimensions,to compare accuracy image measuring of dimensions, in order to quality attributes and to know harvest maturity index. Obtained results were included as follows:. The relationship between the measure and image of the diameter of okra pods has a high correlation (R²= 0.9117). Therefore, the standard grading according to image diameter as follows: The “very small” group includes okra pods less than 1.22 cm (<1.22 cm) in diameter; the “small”group includes okra pods not less than 1.22 cm or more than 1.77 cm (1.22 to 1.77 cm); the “medium” class includes okra pods more than 1.77 cm and not ore than 2.52 cm (1.77 to 2.52 cm) in diameter; and the “large” group includes okra pods more than 2.52 cm (> 2.52 cm).The relationship between the measure and image of the length of okra pods has a high correlation (R²= 0.9783). Therefore, the standard grading according to image length as follows: The “very small” group includes okra pods less than 2.42 cm (<2.42 cm) in length; the “small”group includes okra pods not less than 2.42 cm or more than 4.08 cm (2.42 to 4.08 cm); the “medium” class includes okra pods more than 4.08 cm and not more than 6.10 cm (4.08 cm to 6.10 cm) in length; and the “large” group includes okra pods more than 6.10 (> 6.10 cm). The difference percentage between color values, which measuring by line and rectangle pixel methods. The minimum values were of 9.09%, 7.22% and 6.67%, and for maximum valueswere about 1.69%, 2.94%, and 6.67%, and for average values were 6.89%, 5.24% and 6.79% for Red (R) and Green (G) and Blue (B) values, respectively. Therefore, According to measure of color and size of okra fruits, the measurements considering visual means as a Maturity index of okra fruits.