基于数字图像处理和分析技术的布氏、维氏硬度测量——外文文献翻译、中英文翻译.docVIP

附录A BRINELL AND VICKERS HARDNESS MEASUREMENT USING IMAGE PROCESSING AND ANALYSIS TECHNIQUES ABSTRACT Mechanical hardness testing is fundamental in the evaluation of the mechanical properties of metallic materials due to the fact that the hardness values allow one to determine the wear resistance of the material involved, as well as the approximate values of its ductility, flow tension, among a number of other key characteristics. As a result, the main objective of the present work has been the development and analysis of a computational methodology capable of determining the Brinell and Vickers hardness value from hardness indentation images, which is based on image processing and analysis algorithms . In order to validate the methodology which has been developed, comparisons of the results resulting from the consideration of ten indentation image samples obtained through the conventional manual hardness measurement approach and a computational methodology have been carried out. This analysis allows one to conclude that the semi-automatic measurement of Vickers and Brinell hardness by the computational approach is easier, faster and less depended on the operator’s subjectivity. KEYWORDS: Testing and evaluation, Computational Vision, Image segmentation, Histogram binarization, Region growing, Indentation images, Manual hardness measurement, Computational system. 1 Introduction Mechanical hardness testing is commonly used to evaluate some of the key mechanical properties of materials. For example, the hardness value of a metallic material enables the estimation of its wear resistance, ductility, flow and cut tension. Hardness is defined as the material’s resistance to the indentation of an object; that is, to the impression that the object causes on the materials’ surface. Moreover, in Material Science hardness is defined as representing the materials’ capacity of resisting permanent deformations, which is proportional to the bonding strength of its a