DETECTION OF CARBIDE INCLUSIONS ON DIGITAL IMAGES OF METAL STRUCTURES
Keywords:metal structure, carbides, images, digital processing, gray gray images, contrasting, adaptive contrasting, binarization, histogram
Is devoted to the development of an information model intended for the analysis of metalstructures digital images with carbide inclusions. The analysis of literary sources is carried out, it is established that the study of metal structures is an important tool for assessing qualitative characteristics. The presence of carbides in the metal structure has a significant impact on its quality. A review of the for studying the structure of a metal is given, and the importance of the stage of metal structures image processing is determined. The main methods for obtaining digital images of the alloy structure are described. Samples of metal structures with carbides are presented. A procedure for digital processing of metalstructures images with kibide inclusions is proposed, which consists of image conversion to grayscale, contrasting, and threshold binarization. Demonstrated results of carbide inclusions determination using digital image processing procedure. The advantages and disadvantages of the approach are shown, directions for improvement are identified.
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