Development of a Machine Vision System for Image Recognition of Design Estimates

被引：1

作者：

Demidenko, O. M. ^{[1
]}

Aksionova, N. A. ^{[1
]}

机构：

[1] Gomel State Univ, Gomel, BELARUS

来源：

NONLINEAR PHENOMENA IN COMPLEX SYSTEMS | 2022年 / 25卷 / 02期

关键词：

computer vision; machine vision; pattern recognition; singular points; detector; de-scriptor; OpenCV; !text type='Python']Python[!/text;

D O I：

10.33581/1561-4085-2022-25-2-159-167

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

This paper discusses implementation of a machine vision system for pattern recognition of design estimates. The main problem in the development of these systems is the choice of unique features that remain invariant to various kinds of transformations. Angular de-scriptors were chosen as a dominant feature. The paper presents a comparative analysis of the corner detection methods of the Moravec algorithm, the Harris algorithm, and the Shi-Tomasi algorithm. The authors have developed software in Python language that imple-ments the operation of the Harris detector and the Shih-Tomasi detector. The recognition system is being tested for building 3D models in Blender.

引用

页码：159 / 167

页数：9