• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2012, Vol. 34 ›› Issue (7): 124-129.

• 论文 • Previous Articles     Next Articles

A Fast Algorithm for Image Geometric Feature Parameters Extraction

YANG Cheng,LU Rong,FAN Yong,CHEN Niannian   

  1. (School of Computer Science and Technology,
    Southwest University of Science and Technology,Mianyang 621010,China)
  • Received:2011-09-14 Revised:2011-11-21 Online:2012-07-25 Published:2012-07-25

Abstract:

Image identification and classification play an important role in the field of computer vision and extracting the features quickly and correctly is the essential precondition for image identification and classification. To solve the problem that the algorithm of extracting geometric features has large amount of calculations, this paper proposes a faster algorithm. The algorithm firstly encodes the image connected region by using the Vertex Chain Code, making it mapped as a close area, then turns the surface integral into line integral by combining Vertex Chain Code with Discrete Green, unifying the calculation of the various parameters under the framework of this algorithm. The experimental results show that this algorithm has the features of the unity of calculated parameters, fewer computations and applicability for special area.

Key words: vertex chain code;discrete green theorem;geometric feature parameter