Applying of image processing technology in classifying tomatoes after harvest
Abstract
This paper is about applying image processing technology in classifying tomatoes by color and size. An automatic determination of ripeness and size of tomatoes will be analyzed in detail in this paper. Actually, the system will collect images from cameras placed on a conveyor belt. The images will be taken to the central processor for calculation and analysis. Algorithms is used to estimate the boundary and color of the object will be applied. Tomatoes that have low quality will be detected based on the number of pixels and border size of the subject being captured. The goal of this system is to replace manual grading of tomatoes that still have shortcomings such as low accuracy, low labor productivity.