Apple Quality Inspection Based on RGB Color Space Using Machine Vision
Abstract— Apple and other fruits can be valued by their appearance. The color of apple is a parameter that describes its ripeness, defects, etc. Major problem in apple grading is sorting and classification. Inspection based on human vision taking color and size attributes are considered in traditional methods. Quality decisions can be best judged on the basis of apple color as Color contains main information about fruit status. An appropriate color classification can lead to system accuracy and further lead to efficient grading. Machine vision system uses basic features such as color, size, shape etc to inspect fruit quality. The aim of this research paper is to develop a system that inspects apple on the basis of color of a tested sample
Index Terms— RGB color space, color histogram, average and standard deviation, machine vision, vision builder, inspection logic design.
Ajay Pal Singh Chauhan
ECE Department, SLIET, INDIA
Cite: Ajay Pal Singh Chauhan, "Apple Quality Inspection Based on RGB Color Space Using Machine Vision," Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, pp. 187-193, Bangkok, 28-30 June, 2018.