DEVELOPMENT OF WEB APPLICATION SYSTEMS IDENTIFICATION OF METAL DEFECTSON HALF-TONE IMAGES USING THE HAARCASCADE CLASSIFIER ON ASP.NET CORE MVC PLATFORM
In the process of manufacturing metal products and metal structures, various defects often appear in the material that affect the performance characteristics of the object. In order to detect internal defects, a radiographic control method is used, which allows assessing the quality of the material of the test object from an X-ray image, which is further digitized and transmitted for analysis. The article discusses the main methods of searching objects on a halftone image, and also describes the process of developing an information system using the Haar cascade classifier as the main image processing tool.