Qualitative Sorting of Potatoes by Color Analysis in Machine Vision System

Roya Hasankhani, Hosein Navid

Abstract


Machine vision system is a modern technique that is used for grading of wide range of agricultural crops. Objective of this research is qualitative sorting of potatoes by means of lighting chamber, Camera, frame grabber and computer for catching proper images and analysis of them by MATLAB software. 110 numbers of Agria potatoes were selected randomly and placed in same lighting conditions. The images were transferred by frame grabber to computer memory to be analyzed. The samples had been pre-graded in the same face witch were placed in lighting chamber and percentage of health class was recorded. By performing pre-processing techniques on images, the compound of HSV color space and logarithmic transformation by coefficient of 0.5 was selected. The correction coefficient of health class of pre-graded method and results of implementing algorithm was 0.989 that it was the highest. Qualitative sorting accuracy in this method was 96.54%.


Full Text: PDF DOI: 10.5539/jas.v4n4p129

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This work is licensed under a Creative Commons Attribution 3.0 License.

Journal of Agricultural Science ISSN 1916-9752 (Print) ISSN 1916-9760 (Online)

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