Shape recognition system based on neural networks and its optimization

被引：0
|
作者：
Gao, Jun
Zhang, Weiyong
Jiang, Jianguo
Cao, Xianbin
Wang, Xufa
机构：
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering & Electronics | / 21卷 / 03期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
It is not a new thing to use Hough transform in shape recognition or neural networks in classification. In this paper, combining the two methods together, we use the neural networks to realize the Hough transform and feature extraction. The feature extraction is an 1-D vector and is not affected by the sizes and positions of extracting objects. With the help of the shape recognition systems of constructed neural networks, a very good experiment result is obtained by using the BP algorithm to carry out studying, training and optimizing system parameters.
引用
收藏
页码：52 / 55
相关论文
共 50 条
  • [31] Enhancing the Recognition of Collinear Building Patterns by Shape Cognition Based on Graph Neural Networks
    Zhang, Fubing
    Sun, Qun
    Huang, Wenjun
    Su, Youneng
    Ma, Jingzhen
    Xing, Ruixing
    Applied Artificial Intelligence, 2024, 38 (01)
  • [32] Research on Interlayer Recognition Based on Intelligent Optimization Algorithms and Convolutional Neural Networks
    Pan, Shaowei
    Kang, Mingzhu
    Guo, Zhi
    Luo, Haining
    APPLICATIONS AND TECHNIQUES IN INFORMATION SECURITY (ATIS 2021), 2022, 1554 : 13 - 20
  • [33] Gradientless shape optimization using artificial neural networks
    Pathak, Krishna K.
    Sehgal, D. K.
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2010, 41 (05) : 699 - 709
  • [34] A neural network shape recognition system based on D-S theory
    Hu, LM
    Gao, J
    Wang, AD
    Hu, Y
    2003 IEEE INTELLIGENT TRANSPORTATION SYSTEMS PROCEEDINGS, VOLS. 1 & 2, 2003, : 524 - 528
  • [35] Gradientless shape optimization using artificial neural networks
    Krishna K. Pathak
    D. K. Sehgal
    Structural and Multidisciplinary Optimization, 2010, 41 : 699 - 709
  • [36] A New License Plate Recognition System Based on Probabilistic Neural Networks
    Ozturk, Fikriye
    Ozen, Figen
    FIRST WORLD CONFERENCE ON INNOVATION AND COMPUTER SCIENCES (INSODE 2011), 2012, 1 : 124 - 128
  • [37] Wavelet neural networks based recognition of swing and fault in power system
    Mao, Peng
    Zhang, Zhaoning
    Lin, Xiangning
    Sun, Yaming
    Dianli Xitong Zidonghue/Automation of Electric Power Systems, 2002, 26 (11): : 9 - 13
  • [38] An object recognition system based on convolutional neural networks and angular resolutions
    Achmad Lukman
    Chuan-Kai Yang
    Multimedia Tools and Applications, 2021, 80 : 16059 - 16085
  • [39] An object recognition system based on convolutional neural networks and angular resolutions
    Lukman, Achmad
    Yang, Chuan-Kai
    MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 80 (10) : 16059 - 16085
  • [40] An Autonomous Elevator Button Recognition System Based on Convolutional Neural Networks
    Dong, Zijian
    Zhu, Delong
    Meng, Max Q-H
    2017 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (IEEE ROBIO 2017), 2017, : 2533 - 2539
12345