Earticle

초록

영어

Two novel methods for image feature extraction based on fractional differentiation are presented in this paper. The first method is the feature extraction of fusing multi-direction CRONE operators. In this method, the fractional differential CRONE mask is generalized to eight directions at first for extracting image features; then the extracted features are tested by the statistic method and fused by the gradient ratio, so that the outlines of the objects in the image are obtained. In order to extract the detail feature information in the image effectively, the second method, the ‘S+Z’ extraction combined with the space-filling curves, is presented. By introducing the space-filling curves, the ‘S’ curve and the ‘Z’ curve, and making full use of the neighborhood information of image pixels, the detailed features of the objects in the image are obtained. The experiment results show that our methods can obtain satisfactory image features.

목차

Abstract
 1. Introduction
 2. Multi-direction Feature Extraction based on CRONE Operator
  2.1 CRONE Operator
  2.2 Multi-direction Feature Extraction 
  2.3 Feature Test
 3. CRONE Operator based ‘S+Z’ Extraction Method
  3.1 'S' Curve based New Mask
  3.2 The Improvement of the 'S' Mask
 4. Experimental Analysis
 5. Conclusions
 Acknowledgments
 References

키워드

저자

• Xiangwei Xu [ School of Science, Xi'an University of Technology, Xi'an, China ] Corresponding author
• Fang Dai [ School of Science, Xi'an University of Technology, Xi'an, China ]
• Jianmin Long [ Deapartment of Engineering Mechanics, SVL, Xi'an Jiaotong University, Xi'an, China ]
• Wenyan Guo [ School of Science, Xi'an University of Technology, Xi'an, China ]

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