Grain crop defect fixing method based on digital image statistical parameterization. Issue 5 (November 2020)

• Record Type: Journal Article
• Authors: Kovalev, Andrey; Pribylsky, Alexey
• Is Part Of: Journal of physics. Volume 1679:Issue 5(2020)
• Publication Date: 2020-11
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1679/5/052046
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: The article examines the main stages in the development of a statistical method for localizing and classifying grain crop defects in conditions of low resource consumption of hardware and software of modern agricultural sorting systems. The developed methodology allows: to form a set of coefficients that make it possible to quantify the area under study; the use of the variation coefficient enables to unambiguously assess the homogeneity of the contents of the investigated area; the analysis of the obtained groups of variation coefficients provides for localization of the alleged defect against the general background of the contour, with its contents heterogeneity.