A real-time mathematical computer method for potato inspection using machine vision

Authors:
Navid Razmjooy;B. Somayeh Mousavi;F. Soleymani
Affiliations:
Young Researchers Club, Majlesi Branch, Islamic Azad University, Isfahan, Iran;Young Researchers Club, Zahedan Branch, Islamic Azad University, Zahedan, Iran;Department of Mathematics, Zahedan Branch, Islamic Azad University, Zahedan, Iran
Venue:
Computers & Mathematics with Applications
Year:
2012

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Abstract

Detection of external defects on potatoes is the most important technology in the realization of automatic potato sorting stations. This paper presents a hierarchical grading method applied to the potatoes. In this work a potato defect detection combining with size sorting system using the machine vision will be proposed. This work also will focus on the mathematics methods used in automation with a particular emphasis on the issues associated with designing, implementing and using classification algorithms to solve equations. In the first step, a simple size sorting based on mathematical binarization is described, and the second step is to segment the defects; to do this, color based classifiers are used. All the detection standards for this work are referenced from the United States Agriculture Department, and Canadian Food Industries. Results show that we have a high accuracy in both size sorting and classification. Experimental results show that support vector machines have very high accuracy and speed between classifiers for defect detection.