Earticle

초록

영어

Object Recognition System of Sonar Image plays an important role in the field of underwater defense According to pattern recognition theory, principle processes of a typical object recognition system is introduced . To achieve robust performance, image de-noising, sharpening, binary transformation, edge detection and other image processing techniques are discussed . The paper presents a novel object recognition system using multiple invariant moments as the main feature of the object, and the detected feature is trained by BP neural network so that the classification error can be minizied. Finally, we implemented the proposed approach by visual air plane recognition, the experimental results demonstrates the robustness and efficiency of the presented approach.

목차

Abstract
 1. Introduction
  1.1. Page Setup: Margins and Layout
  1.2. Preprocesses of Images and Features Extraction Based on Multiple Invariant Moment
  1.3. BP neural Network
 2. Experimental Results
 3. Conclusions
 Acknowledgements
 References

키워드

저자

• Jianning Han [ School of Information and Communication Engineering, North University of China, Taiyuan Shanxi China, 030051 ]
• Peng Yang [ School of Information and Communication Engineering, North University of China, Taiyuan Shanxi China, 030051 ]
• Lu Zhang [ School of Information and Communication Engineering, North University of China, Taiyuan Shanxi China, 030051 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605