Abstract
A system for recognizing surface defects in marble slabs is proposed. The pattern recognition method based on segmentation methods was further developed. The algorithm of the recognition system. The article describes methods for determining damage from digital images on various hard surfaces. Research in this field is relevant for a wide range of industrial enterprises that specialize in the production of various kinds of materials: parts, marble slabs, building materials, etc. To solve this problem, it is proposed to use the k-means clustering method. It has been experimentally established that Gaussian blurring algorithms, the Hough transform, and the Kenny algorithm are best suited for recognizing defects on the surface of a marble slab. The developed complex method based on the theory of pattern recognition allows you to quickly identify defects and damage on the surfaces of marble slabs. On the basis of the method, a system for understanding defects is implemented in software. The main stages of the system are described in the article. The results of the analysis of the image of the surface of the marble slab on a specific example are presented. The developed complex method based on the theory of pattern recognition allows you to quickly identify defects and damage on the surfaces of marble slabs. On the basis of the method, a system for understanding defects is implemented in software. The main stages of the system are described in the article. The results of the analysis of the image of the surface of the marble slab on a specific example are presented.
Highlights
Among the many problems that are solved on the way to automating the production of an industrial enterprise, the creation of theoretical and experimental prerequisites for building industrial systems for processing visual information on the basis of modern information technologies is very important
There are three groups of typical image processing algorithms that are characteristic of all vision systems: preliminary image processing; segmentation; description
Discussion of results It has been found that Gaussian blurring, Hough Line Transform, and Kenny’s algorithms are best suited to develop a marble slab defect detection system [12]
Summary
Among the many problems that are solved on the way to automating the production of an industrial enterprise, the creation of theoretical and experimental prerequisites for building industrial systems for processing visual information on the basis of modern information technologies is very important. These include systems for determining objects, systems for automated control of product quality (control of geometric parameters, defect detection), systems for analyzing experimental graphs, curves, images, etc. The greatest effect from the introduction of information technology in production should be expected from automatic image processing.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
