An OOPR-based rose variety recognition system

  • Authors:
  • Miao Zhenjiang;M. -H. Gandelin;Yuan Baozong

  • Affiliations:
  • Institute of Information Science, Beijing Jiaotong University, Beijing 100044, PR China;Institute of Information Science, Beijing Jiaotong University, Beijing 100044, PR China;Institute of Information Science, Beijing Jiaotong University, Beijing 100044, PR China

  • Venue:
  • Engineering Applications of Artificial Intelligence
  • Year:
  • 2006

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Abstract

This paper describes a rose analysis and recognition system and presents the main principles used to realize the recognition system. The major principles presented in this paper are the mathematical description methods for rose features such as shape, size and color of the flower, petal, leaf, etc, and the object-oriented pattern recognition (OOPR) approach which mathematically deals with how to comprehensively use all different rose features rationally in the recognition scheme. The recognition system is described and some of its experimental results are given which demonstrate the efficiency of our methods.