Myshkin, NK Kong, H Grigoriev, AY Yoon, ES 2024-01-21T11:43:04Z 2024-01-21T11:43:04Z 2021-09-05 2001-10 0043-1648 https://pubs.kist.re.kr/handle/201004/140160 A method and results of classification of metallic wear debris using their color features are presented. The color images of wear debris were used as initial data. The color features of the debris are specified by an HSI color model, Each particle is characterized by a set of statistical features derived from a distribution of HSI color model components. The initial feature set was optimized by principal component analysis. A multidimensional scaling procedure was used for definition of the classification plane. The selected features allow us to distinguish copper-based alloys, red and dark iron oxides and steel particles. A method was proposed of probabilistic decision of class assignment based on analysis of debris coordinates distribution in the classification plane. The obtained results have demonstrated the feasibility of using color features for automated wear particle analysis. (C) 2001 Elsevier Science B.V. All rights reserved. English ELSEVIER SCIENCE SA COMPUTER IMAGE-ANALYSIS The use of color in wear debris analysis Article 10.1016/S0043-1648(01)00751-7 1 WEAR, v.251, pp.1218 - 1226 WEAR 251 1218 1226 scie scopus 000172012900049 2-s2.0-0035482706 Engineering, Mechanical Materials Science, Multidisciplinary Engineering Materials Science Article; Proceedings Paper COMPUTER IMAGE-ANALYSIS wear debris classification color features multidimensional scaling probabilistic recognition