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零件图像识别特征的研究
引用本文:张洛平,权欢欢,周英梅.零件图像识别特征的研究[J].河南科技大学学报(自然科学版),2008,29(6).
作者姓名:张洛平  权欢欢  周英梅
作者单位:1. 河南科技大学,机电工程学院,河南,洛阳,471003
2. 西北工业大学,管理学院,陕西,西安,710072
摘    要:图像的识别分类总是以被识别物体的某些特征为基础.因此,零件图像识别特征的选取与提取是零件图像识别分类的关键技术,本文对零件图像的几何特征和形状特征进行了研究.设计了零件图像处理程序,提取了区域面积、边界周长、轮廓个数,圆形度参数、区域重心坐标、区域的外接矩形参数6个直观易测的零件图像特征参数.实验结果表明,本文提出的方法是有效的,为下一步零件图像的识别分类奠定了基础.

关 键 词:图像识别  零件图像  几何特征  形状特征

Study on Identification & Orientation of Component Part Images
ZHANG Luo-Ping,QUAN Huan-Huan,ZHOU Ying-Mei.Study on Identification & Orientation of Component Part Images[J].Journal of Henan University of Science & Technology:Natural Science,2008,29(6).
Authors:ZHANG Luo-Ping  QUAN Huan-Huan  ZHOU Ying-Mei
Institution:ZHANG Luo-Ping1,QUAN Huan-Huan1,ZHOU Ying-Mei2 (1.Electromechanical Engineering College,Henan University of Science & Technology,Luoyang 471003,China,2.School of Management,Northwestern Polytechnical University,Xi\'an 710072,China)
Abstract:Image recognition is based on some features of the recognized objects.Therefore, selecting and extracting the recognition features of the part images is the key technology for image recognition.The geometric features and shape features are studied in this paper.Part image processing software is designed.Six visual and easily measured characteristics of the part images,such as region area,boundary perimeter,contour number,circularity,region center of gravity coordinates,region boundary-rectangle coordinates ...
Keywords:Image recognition  Part images  Geometric features  Shape features  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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