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三角形类型模糊模式识别新探

发表时间:2024-01-16  浏览量:196  下载量:30
全部作者: 夏毅强,黄若颖,靖英豪,刘海涛
作者单位: 辽宁工程技术大学理学院;辽宁工程技术大学电气与控制工程学院
摘 要: 本文探索基于高斯隶属函数模糊逻辑的新方法,以提高三角形类型的精确识别。通过将模糊逻辑与传统三角形特征识别方法相结合,实现对不同类型的三角形(如锐角、钝角、直角、等腰和等边三角形)进行精确识别以提高三角形类型识别的鲁棒性和准确性。本研究的主要用途包括但不限于计算机视觉中的物体识别、图像处理中的三角形特征提取、自动控制系统中的形状识别以及教育领域中的数学教学辅助。
关 键 词: 模糊数学;模糊模式识别;三角形识别;高斯隶属函数
Title: A new exploration of fuzzy pattern recognition of triangle types
Author: XIA Yiqiang, HUANG Ruoying, JING Yinghao, LIU Haitao
Organization: College of Science, Liaoning Technical University; Faculty of Electrical and Control Engineering, Liaoning Technical University
Abstract: This paper explores a new approach based on fuzzy logic with Gaussian affiliation function to improve the accuracy of triangle shape type recognition. Accurate recognition of different types of triangles (e.g., acute, obtuse, right, isosceles, and equilateral triangles) is achieved by combining fuzzy logic with traditional triangle feature recognition methods to improve the robustness and accuracy of triangle type recognition. The main applications of this research include, but are not limited to, object recognition in computer vision, triangular feature extraction in image processing, shape recognition in automated control systems, and mathematics teaching aids in the field of education.
Key words: fuzzy mathematics; fuzzy pattern recognition; triangle recognition; Gaussian affiliation function
发表期数: 2023年12月第4期
引用格式: 夏毅强,黄若颖,靖英豪,等. 三角形类型模糊模式识别新探[J]. 中国科技论文在线精品论文,2023,16(4):468-476.
 
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