Use of Automated Image Analysis in the Study of Mechanisms of the Formation of Nitrided Layers

Abstract

This paper presents a developed model solution designed to identify material properties, and characteristics of the manufacturing processes of surface layers, based on automatic image analysis of material microsections. The characteristics of the mechanisms of formation of nitrided layers, and those occuring during the process phenomena are discussed. The objectives of the use of the methods of digital image processing, and analysis, as well as specific sets of tasks are described. Among presented possibilities of the use of methods of digital image processing, and analysis, the following techniques are discussed: improving the quality of images, segmentation, morphological transformations, and pattern recognition. The presented model includes different stages of the analysis, such as: automatic selection of procedures involving the specified methods of image processing, and analysis, automatic identification of nitriding zones, and their characteristics, automatic identification of technology, and the characteristics of the gas nitriding process.Keywordsimage analysissurface layergas nitridingartificial intelligence